Lecture Notes in Electrical Engineering Volume 67978-3-642-12990-2/1.pdf · Cesare Alippi, Milan, Italy Shun-ichi Amari, Tokyo, Japan Zheng Bao, Xi'an, China Dimitri P. Bertsekas,

Lecture Notes in Electrical Engineering

Volume 67

Zhigang Zeng · Jun Wang (Eds.)

Advances in Neural NetworkResearch and Applications

ABC

Prof. Zhigang ZengDepartment of Control Science and EngineeringHuazhong University of Science and TechnologyWuhan, Hubei, 430074ChinaE-mail: [email protected]

Prof. Jun WangDepartment of Mechanical & Automation EngineeringThe Chinese University of Hong KongShatin, New TerritoriesHong KongTel.: +852 26098472Fax: +852-26036002E-mail: [email protected]

ISBN 978-3-642-12989-6 e-ISBN 978-3-642-12990-2

DOI 10.1007/978-3-642-12990-2

Library of Congress Control Number: 2010926919

c© 2010 Springer-Verlag Berlin Heidelberg

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Preface

This book is a part of the Proceedings of the Seventh International Symposium on Neural Networks (ISNN 2010), held on June 6-9, 2010 in Shanghai, China. Over the past few years, ISNN has matured into a well-established premier international symposium on neural networks and related fields, with a successful sequence of ISNN series in Dalian (2004), Chongqing (2005), Chengdu (2006), Nanjing (2007), Beijing (2008), and Wuhan (2009). Following the tradition of ISNN series, ISNN 2010 provided a high-level international forum for scientists, engineers, and educators to present the state-of-the-art research in neural networks and related fields, and also discuss the major opportunities and challenges of future neural network research.

Over the past decades, the neural network community has witnessed significant breakthroughs and developments from all aspects of neural network research, including theoretical foundations, architectures, and network organizations, modeling and simulation, empirical studies, as well as a wide range of applications across different domains. The recent developments of science and technology, including neuroscience, computer science, cognitive science, nano-technologies and engineering design, among others, has provided significant new understandings and technological solutions to move the neural network research toward the development of complex, large scale, and networked brain-like intelligent systems. This long-term goals can only be achieved with the continuous efforts from the community to seriously investigate various issues on neural networks and related topics. Toward this end, the ISNN 2010 provided a great platform for the community to share their latest research results, discuss critical future research directions, stimulate innovative research ideas, as well as facilitate worldwide multi-disciplinary collaborations.

ISNN 2010 received numerous submissions from about thousands of authors in about 40 countries and regions (Australia, Belgium, Brazil, Canada, China, Colombia, Czech Republic, Finland, France, Germany, Hong Kong, India, Iran, Italy, Japan, Lebanon, Lithuania, Macao, Malaysia, Mexico, Netherlands, New Zealand, Norway, Peru, Poland, Portugal, Singapore, Slovenia, South Africa, South Korea, Spain, Sri Lanka, Taiwan, Thailand, Tunisia, Uganda, United Arab Emirates, United Kingdom, and USA) across six continents (Asia, Europe, North America, South America, Africa, and Oceania). Based on the rigorous peer-reviews by the program committee members and the reviewers, 108 high-quality papers were selected for publications in Lecture Notes in Electrical Engineering (LNEE) Proceedings. These papers cover all major topics of the engineering designs and applications of neural network research. In addition to the contributed papers, the ISNN 2010 technical program included four plenary speeches by Andrzej Cichocki (RIKEN Brain Science Institute, Japan), Chin-Teng Lin (National Chiao Tung University, Taiwan), DeLiang Wang (Ohio State University, USA), Gary G. Yen (Oklahoma State University, USA).

We would like to take this opportunity to express our sincere thanks to the Shanghai Jiao Tong University, The Chinese University of Hong Kong, Microsoft Research Asia, and the National Natural Science Foundation of China for their

Preface VI

sponsorship, to the IEEE Shanghai Section, IEEE Computational Intelligence Society, International Neural Network Society, Asia Pacific Neural Network Assembly, European Neural Network Society, and International Association for Mathematics and Computers in Simulation for their technical co-sponsorship.

We would also like to sincerely thank the chairs for their contributions to the symposium, members of the Advisory Committee and Steering Committee for their guidance, and the members of the Organizing Committee, Special Sessions Committee, Publication Committee, Publicity Committee, Finance Committee, Registration Committee, and Local Arrangements Committee for all their great efforts and time in organizing such an event. We would like especially to express our deepest gratitude to the members of the International Program Committee and all reviewers for their professional review of the papers; their expertise guaranteed the high quality of the technical program of the ISNN 2010.

Furthermore, we would also like to thank Springer for publishing the proceedings in the prestigious series of Lecture Notes in Electrical Engineering. Meanwhile, we also would like to express our heartfelt appreciations to the plenary and panel speakers for their vision and discussions on the latest research development in the field as well as critical future research directions, opportunities, and challenges. Finally, we would also like to thank all the speakers, authors, and participants for their great contribution and support that made ISNN 2010 a great success.

Zhigang Zeng Jun Wang

ISNN 2010 Organization

Sponsor and Organizer

Shanghai Jiao Tong University

Co-organizers

The Chinese University of Hong Kong Microsoft Research Asia

Technically Co-sponsors

IEEE Shanghai Section IEEE Computational Intelligence Society International Neural Network Society European Neural Network Society Asia Pacific Neural Network Assembly International Association for Mathematics and Computers in Simulation

Financial Co-sponsor

National Natural Science Foundation of China

General Chairs

Jun Wang Hong Kong, China Bao-Liang Lu Shanghai, China

Organizing Committee Chair

Jianbo Su Shanghai, China

Program Committee Chairs

Liqing Zhang Shanghai, China Zhigang Zeng Wuhan, China James T.Y. Kwok Hong Kong, China

Organization VIII

Special Sessions Chairs

Si Wu Shanghai, China Qing Ma Kyoto, Japan Paul S. Pang Auckland, New Zealand

Publications Chairs

Hongtao Lu Shanghai, China Yinling Wang Shanghai, China Wenlian Lu Shanghai, China

Publicity Chairs

Bo Yuan Shanghai, China Xiaolin Hu Beijing, China Qingshan Liu Nanjing, China

Finance Chairs

Xinping Guan Shanghai, China Xiangyang Zhu Shanghai, China

Registration Chairs

Fang Li Shanghai, China Gui-Rong Xue Shanghai, China Daniel W.C. Ho Hong Kong, China

Local Arrangements Chairs

Qingsheng Ren Shanghai, China Xiaodong Gu Shanghai, China

Advisory Committee Chairs

Xiaowei Tang Hangzhou, China Bo Zhang Beijing, China Aike Guo Shanghai, China

Organization IX

Advisory Committee Members

Cesare Alippi, Milan, Italy Shun-ichi Amari, Tokyo, Japan Zheng Bao, Xi'an, China Dimitri P. Bertsekas, Cambridge, MA, USA Tianyou Chai, Shenyang, China Guanrong Chen, Hong Kong Andrzej Cichocki, Tokyo, Japan Ruwei Dai, Beijing, China Jay Farrell, Riverside, CA, USA Chunbo Feng, Nanjing, China Russell Eberhart, Indianapolis, IN, USA David Fogel, San Diego, CA, USA Walter J. Freeman, Berkeley, CA, USA Kunihiko Fukushima, Osaka, Japan Xingui He, Beijing, China Zhenya He, Nanjing, China Janusz Kacprzyk, Warsaw, Poland Nikola Kasabov, Auckland, New ZealandOkyay Kaynak, Istanbul, Turkey Anthony Kuh, Honolulu, HI, USA Frank L. Lewis, Fort Worth, TX, USA Deyi Li, Beijing, China Yanda Li, Beijing, China

Chin-Teng Lin, Hsinchu, Taiwan Robert J. Marks II, Waco, TX, USA Erkki Oja, Helsinki, Finland Nikhil R. Pal, Calcutta, India Marios M. Polycarpou, Nicosia, Cyprus José C. Príncipe, Gainesville, FL, USA Leszek Rutkowski, Czestochowa, Poland Jennie Si, Tempe, AZ, USA Youxian Sun, Hangzhou, China DeLiang Wang, Columbus, OH, USA Fei-Yue Wang, Beijing, China Shoujue Wang, Beijing, China Paul J. Werbos, Washington, DC, USA Cheng Wu, Beijing, China Donald C. Wunsch II, Rolla, MO, USA Youlun Xiong, Wuhan, China Lei Xu, Hong Kong Shuzi Yang, Wuhan, China Xin Yao, Birmingham, UK Gary G. Yen, Stillwater, OK, USA Nanning Zheng, Xi'an, China Yongchuan Zhang, Wuhan, China Jacek M. Zurada, Louisville, KY, USA

Program Committee Members

Haydar Akca Alma Y. Alanis Bruno Apolloni Sabri Arik Vijayan Asari Tao Ban Peter Baranyi Salim Bouzerdoum Martin Brown Xindi Cai Jianting Cao Yu Cao Jonathan Chan

Chu-Song Chen Liang Chen Sheng Chen Songcan Chen YangQuan Chen Yen-Wei Chen Zengqiang Chen Jianlin Cheng Li Cheng Long Cheng Zheru Chi Sung-Bae Cho Emilio Corchado

Organization X

Jose Alfredo F. Costa Ruxandra Liana Costea Sergio Cruces Baotong Cui Chuanyin Dang Mingcong Deng Ming Dong Jixiang Du Andries Engelbrecht Meng Joo Er Jufu Feng Chaojin Fu Wai-Keung Fung John Gan Junbin Gao Xiao-Zhi Gao Xinping Guan Chen Guo Chengan Guo Ping Guo Abdenour Hadid Honggui Han Qing-Long Han Haibo He Hanlin He Zhaoshui He Akira Hirose Daniel Ho Noriyasu Homma Zhongsheng Hou Chun-Fei Hsu Huosheng Hu Jinglu Hu Junhao Hu Sanqing Hu Guang-Bin Huang Tingwen Huang Wei Hui Amir Hussain Jayadeva Minghui Jiang Tianzi Jiang Yaochu Jin Joarder Kamruzzaman Shunshoku Kanae Qi Kang Nik Kasabov

Okyay Kaynak Rhee Man Kil Kwang-Baek Kim Sungshin Kim Mario Koeppen Rakhesh Singh Kshetrimayum Edmund Lai Heung Fai Lam Minho Lee Chi-Sing Leung Henry Leung Chuandong Li Fang Li Guang Li Kang Li Li Li Shaoyuan Li Shutao Li Xiaoli Li Xiaoou Li Xuelong Li Yangmin Li Yuanqing Li Yun Li Zhong Li Jinling Liang Ming Liang Pei-Ji Liang Yanchun Liang Li-Zhi Liao Wudai Liao Longnian Lin Guoping Liu Ju Liu Meiqin Liu Yan Liu Hongtao Lu Jianquan Lu Jinhu Lu Wenlian Lu Jian Cheng Lv Jinwen Ma Malik Magdon Ismail Danilo Mandic Tiemin Mei Dan Meng Yan Meng

Organization XI

Duoqian Miao Martin Middendorf Valeri Mladenov Marco Antonio Moreno-Armendáriz Ikuko Nishkawa Stanislaw Osowski Seiichi Ozawa Shaoning Pang Jaakko Peltonen Vir V. Phoha Branimir Reljin Qingsheng Ren Tomasz Rutkowski Sattar B. Sadkhan Toshimichi Saito Gerald Schaefer Furao Shen Daming Shi Hideaki Shimazaki Michael Small Qiankun Song Jochen J. Steil John Sum Roberto Tagliaferri Norikazu Takahashi Ah-hwee Tan Ying Tan Toshihisa Tanaka Dacheng Tao Ruck Thawonmas Xin Tian Christos Tjortjis Ivor Tsang Masao Utiyama Marc Vanhulle Bin Wang Dan Wang Dianhui Wang Lei Wang Liang Wang Rubin Wang

Wenjia Wang Wenwu Wang Xiaoping Wang Xin Wang Yinglin Wang Yiwen Wang Zhanzhan Wang Zhongsheng Wang Zidong Wang Hau-San Wong Kevin Wong Wei Wu Cheng Xiang Hong Xie Songyun Xie Rui Xu Xin Xu Guirong Xue Yang Yang Yingjie Yang Yongqing Yang Jianqiang Yi Dingli Yu Jian Yu Xiao-Hua Yu Bo Yuan Kun Yuan Pong C Yuen Xiaoqin Zeng Changshui Zhang Jie Zhang Junping Zhang Kai Zhang Lei Zhang Nian Zhang Dongbin Zhao Hai Zhao Liang Zhao Qibin Zhao Mingjun Zhong Weihang Zhu

Reviewers

Ajith Abraham Alma Y. Alanis NG Alex

Jing An Sung Jun An Claudia Angelini

Nancy Arana-Daniel Nancy Arana-Daniel Kiran Balagani

Organization XII

Tao Ban Simone Bassis Anna Belardinelli Joao Roberto Bertini Junior

Amit Bhaya Shuhui Bi Xuhui Bo Salim Bouzerdoum N. Bu Qiao Cai Xindi Cai Hongfei Cao Yuan Cao Jonathan Chan Wenge Chang Benhui Chen Bo-Chiuan Chen Chao-Jung Chen Chu-Song Chen Cunbao Chen Fei Chen Gang Chen Guici Chen Junfei Chen Lei Chen Min Chen Pin-Cheng Chen Sheng Chen Shuwei Chen Tao Chen Xiaofen Chen Xiaofeng Chen Yanhua Chen Yao Chen Zengqiang Chen Zhihao Chen Jianlin Cheng K. H. Cheng Lei Cheng Yu Cheng Yuhu Cheng Seong-Pyo Cheon Zheru Chi Seungjin Choi Angelo Ciaramella Matthew Conforth

Paul Christopher Conilione

Paleologu Constantin Jose Alfredo F. Costa Ruxandra Liana Costea Fangshu Cui Zhihua Cui James Curry Qun Dai Xinyu Dai Spiros Denaxas Jing Deng Xin Deng Zhijian Diao Ke Ding Jan Dolinsky Yongsheng Dong Adriao Duarte Doria Neto Dajun Du Jun Du Shengzhi Du Wei Du Qiguo Duan Zhansheng Duan Julian Eggert Yong Fan Chonglun Fang Italia De Feis G C Feng Qinrong Feng Simone Fiori Chaojin Fu Jun Fu Zhengyong Fu Zhernyong Fu Sheng Gan Shenghua Gao Fei Ge Vanessa Goh Dawei Gong Weifeng Gu Wenfei Gu Renchu Guan Chengan Guo Jianmei Guo Jun Guo Ping Guo

Xin Guo Yi Guo Juan Carlos Gutierrez

Caceres Osamu Hasegawa Aurelien Hazart Hanlin He Huiguang He Lianghua He Lin He Wangli He Xiangnan He Zhaoshui He Sc Ramon Hernandez Esteban

Hernandez-Vargas Kevin Ho Xia Hong Chenping Hou Hui-Huang Hsu Enliang Hu Jinglu Hu Junhao Hu Meng Hu Sanqing Hu Tianjiang Hu Xiaolin Hu Zhaohui Hu Bonan Huang Chun-Rong Huang Dan Huang J. Huang Kaizhu Huang Shujian Huang Xiaodi Huang Xiaolin Huang Zhenkun Huang Cong Hui GuoTao Hui Khan M. Iftekharuddin Tasadduq Imam Teijiro Isokawa Mingjun Ji Zheng Ji Aimin Jiang Changan Jiang Feng Jiang

Organization XIII

Lihua Jiang Xinwei Jiang Gang Jin Ning Jin Yaochu Jin Krzysztof Siwek Yiannis Kanellopoulos Enam Karim Jia Ke Salman Khan Sung Shin Kim Tae-Hyung Kim Mitsunaga Kinjo Arto Klami Mario Koeppen Adam Kong Hui Kong Qi Kong Adam Krzyzak Jayanta Kumar Debnath Kandarpa Kumar Sarma Franz Kurfess Paul Kwan Darong Lai Jiajun Lai Jianhuang Lai Wei Lai Heung Fai Lam Paul Lam Yuan Lan Ngai-Fong Law N. K. Lee Chi Sing Leung Bing Li Boyang Li C. Li Chaojie Li Chuandong Li Dazi Li Guang Li Junhua Li Kang Li Kelin Li Li Li Liping Li Lulu Li Manli Li

Peng Li Ping Li Ruijiang Li Tianrui Li Tieshan Li Xiaochen Li Xiaocheng Li Xuelong Li Yan Li Yun Li Yunxia Li Zhenguo Li Allan Liang Jinling Liang Pei-Ji Liang Li-Zhi Liao Wudai Liao Hongfei Lin Qing Lin Tran Hoai Lin Bo Liu Chang Liu Chao Liu Fei Liu Hongbo Liu Jindong Liu Lei Liu Lingqiao Liu Nianjun Liu Qingshan Liu Wei Liu Xiangyang Liu Xiwei Liu Yan Liu Yanjun Liu Yu Liu Zhaobing Liu Zhenwei Liu Jinyi Long Jinyi Long Carlos Lopez-Franco Shengqiang Lou Mingyu Lu Ning Lu S F Lu Bei Lv Jun Lv

Fali Ma Libo Ma Singo Mabu Danilo Mandic Qi Mao Tomasz Markiewicz Radoslaw Mazur Tiemin Mei Bo Meng Zhaohui Meng Marna van der Merwe Martin Middendorf N. Mitianoudis Valeri Mladenov Alex Moopenn Marco Moreno Loredana Murino Francesco Napolitano Ikuko Nishkawa Tohru Nitta Qiu Niu Qun Niu Chakarida Nukoolkit Sang-Hoon Oh Floriberto Ortiz Stanislaw Osowski Antonio de Padua Braga Antonio Paiva Shaoning Pang Woon Jeung Park Juuso Parkkinen Michael Paul Anne Magály de

Paula Canuto Zheng Pei Jaakko Peltonen Ce Peng Hanchuan Peng Jau-Woei Perng Son Lam Phung Xiong Ping Kriengkrai Porkaew Santitham Prom-on Dianwei Qian Lishan Qiao Keyun Qin Meikang Qiu

Organization XIV

Li Qu Marcos G. Quiles Mihai Rebican Luis J. Ricalde Jorge Rivera Haijun Rong Zhihai Rong Tomasz Rutkowski Jose A. Ruz Edgar N. Sanchez Sergio P. Santos Renato José Sassi Chunwei Seah Nariman Sepehri Caifeng Shan Shiguang Shan Chunhua Shen Furao Shen Jun Shen Yi Shen Jiuh-Biing Sheu Licheng Shi Qinfeng Shi Xiaohu Shi Si Si Leandro Augusto da Silva Angela Slavova Sunantha Sodsee Dandan Song Dongjin Song Doo Heon Song Mingli Song Qiang Song Qiankun Song Kingkarn

Sookhanaphibarn Gustavo Fontoura de

Souza Antonino Staiano Jochen Steil Pui-Fai Sum Jian Sun Jian-Tao Sun Junfeng Sun Liang Sun Liming Sun Ning Sun

Yi Sun Shigeru Takano Mingkui Tan Ke Tang Kecheng Tang Y Tang Liang Tao Yin Tao Sarwar Tapan Ruck Thawonmas Tuan Hue Thi Le Tian Fok Hing Chi Tivive Christos Tjortjis Rutkowski Tomasz Julio Tovar Jianjun Tu Zhengwen Tu Goergi Tzenov Lorenzo Valerio Rodrigo Verschae Liang Wan Min Wan Aihui Wang Bin Wang Bo Hyun Wang Chao Wang Chengyou Wang Dianhui Wang Guanjun Wang Haixian Wang Hongyan Wang Huidong Wang Huiwei Wang Jingguo Wang Jinghua Wang Lan Wang Li Wang Lili Wang Lizhi Wang Min Wang Ming Wang Pei Wang Ruizhi Wang Xiaolin Wang Xiaowei Wang Xin Wang

Xu Wang Yang Wang Ying Wang You Wang Yunyun Wang Zhanshan Wang Zhengxia Wang Zhenxing Wang Zhongsheng Wang Bunthit Watanapa Hua-Liang Wei Qinglai Wei Shengjun Wen Young-Woon Woo Ailong Wu Chunguo Wu Jun Wu Qiang Wu Si Wu Xiangjun Wu Yili Xia Zeyang Xia Cheng Xiang Linying Xiang Shiming Xiang Xiaoliang Xie Ping Xiong Zhihua Xiong Fang Xu Feifei Xu Heming Xu Jie Xu LinLi Xu Rui Xu Weihong Xu Xianyun Xu Xin Xu Hui Xue Jing Yang Liu Yang Qingshan Yang Rongni Yang Shangming Yang Wen-Jie Yang Wenlu Yang Wenyun Yang Xubing Yang

Organization XV

Yan Yang Yongqing Yang Zi-Jiang Yang John Yao Jun Yao Yingtao Yao Keiji Yasuda Ming-Feng Yeh Xiao Yi Chenkun Yin Kaori Yoshida WenwuYu Xiao-Hua Yu Kun Yuan Weisu Yuan Xiaofang Yuan Zhuzhi Yuan Zhuzhu Yuan P C Yuen Masahiro Yukawa Lianyin Zhai Biao Zhang Changshui Zhang Chen Zhang

Dapeng Zhang Jason Zhang Jian Zhang Jianbao Zhang Jianhai Zhang Jianhua Zhang Jin Zhang Junqi Zhang Junying Zhang Kai Zhang Leihong Zhang Liming Zhang Nengsheng Zhang Nian Zhang Pu-Ming Zhang Qing Zhang Shaohong Zhang Tao Zhang Teng-Fei Zhang Ting Zhang Xian-Ming Zhang Yuyang Zhang Hai Zhao Qibin Zhao

Xiaoyu Zhao Yi Zhao Yongping Zhao Yongqing Zhao Ziyang Zhen Chengde Zheng Lihong Zheng Yuhua Zheng Caiming Zhong Mingjun Zhong Shuiming Zhong Bo Zhou Jun Zhou Luping Zhou Rong Zhou Xiuling Zhou Haojin Zhu Song Zhu Wenjun Zhu Xunlin Zhu Yuanming Zhu Wei-Wen Zou Xin Zou Pavel Zuñiga

Secretariat

Jin Gang Kan Hong Qi Kong Qiang Wang Qiang Wu Rong Zhou Tianqi Zhang

Table of Contents

Prediction and Forecasting

A Novel Prediction Mechanism with Modified Data Mining Techniquefor Call Admission Control in Wireless Cellular Network . . . . . . . . . . . . . . 1

Chen-Feng Wu, Yu-Teng Chang, Chih-Yao Lo, andHan-Sheng Zhuang

The Study of Forecasting Model of Rock Burst for Acoustic EmissionBased on BP Neural Network and Catastrophe Theory . . . . . . . . . . . . . . . 11

Yunyun Xu and Dongqiang Xu

Application of Wavelet Neural Network to Prediction of Water Contentin Crude Oil . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21

Huifen Niu, Cuiling Liu, Jinqi Wang, and Xiaowen Sun

Prediction of Urban Heat Island Intensity in Chuxiong City withBackpropagation Neural Network . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29

Wujun Xi and Ping He

Research on the Fouling Prediction of Heat Exchanger Based onWavelet Relevance Vector Machine . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37

Lingfang Sun, Rina Saqi, and Honggang Xie

Electricity Price Forecasting Using Neural Networks Trained withEntropic Criterion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47

Jianhua Zhang, Jingyue Wang, Rui Wang, and Guolian Hou

Least Square Support Vector Machine Ensemble for Daily RainfallForecasting Based on Linear and Nonlinear Regression . . . . . . . . . . . . . . . . 55

Jiansheng Wu, Mingzhe Liu, and Long Jin

Estimating Portfolio Risk Using GARCH-EVT-Copula Model: AnEmpirical Study on Exchange Rate Market . . . . . . . . . . . . . . . . . . . . . . . . . . 65

Zongrun Wang, Yanbo Jin, and Yanju Zhou

Forecasting Financial Time Series via an Efficient CMAC NeuralNetwork . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 73

Chi-Jie Lu and Jui-Yu Wu

Forecasting Daily Cash Turnover of Bank with EWMA and SVR . . . . . . 83Wei-min Ma and Wei Lu

Financial Distress Prediction Model via GreyART Network and GreyModel . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91

Ming-Feng Yeh, Chia-Ting Chang, and Min-Shyang Leu

XVIII Table of Contents

Risk Assessment Model Based on Immune Theory . . . . . . . . . . . . . . . . . . . . 101Tao Liu, Li Shang, and Zhifeng Hu

Short-Term Load Forecasting Based on Bayes and RS . . . . . . . . . . . . . . . . 109Yanmei Li

Fuzzy Neural Networks

Nonlinear System Modeling with a New Fuzzy Model and NeuralCompensation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 117

Cruz Vega Israel and Wen Yu

A Research of Fuzzy Neural Network in Ferromagnetic TargetRecognition . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129

Caipeng Wu, Jiahao Deng, and Yanli Yang

Multiple T-S Fuzzy Neural Networks Soft Sensing Modeling ofFlotation Process Based on Fuzzy C-Means Clustering Algorithm . . . . . . 137

Jiesheng Wang, Yong Zhang, and Shifeng Sun

A Using Reliability Evaluation Model for Diesel Engine Based on FuzzyNeural Network . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 145

Ying-Kui Gu and Kai-Qi Huang

Fuzzy Sliding Mode Control with Perturbation Estimation for aPiezoactuated Micromanipulator . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 153

Qingsong Xu and Yangmin Li

A Credit Risk Rating Model Based on Fuzzy Neural Network . . . . . . . . . . 161Ke-Jun Zhu, Pin-Chang Chen, and Yu-Teng Chang

Interval-Valued Fuzzy Control . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 173Wenyi Zeng and Jiayin Wang

Research on Fuzzy Preference Relations-Based MAS for DecisionMethod . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 185

Weijin Jiang and Qing Jiang

Optimization and Planning

Study of Stochastic Demand Inventory Routing Problem with SoftTime Windows Based on MDP . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 193

Wei Zeng and Qian Zhao

An Agent-Based Approach to Joint Procurement Modeling with VirtualOrganization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 201

Chih-Yao Lo, Hung-Teng Chang, Yu-Teng Chang, and Hsiu-Yun Hu

Table of Contents XIX

Interactive Hybrid Evolutionary Computation for MEMS DesignSynthesis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 211

Ying Zhang and Alice M. Agogino

Genetic Algorithms for Traffic Grooming in Optical Tree Networks . . . . . 219Shu-tong Xie and Li-fang Pan

Multi-sensor Multi-target Tracking with OOSM . . . . . . . . . . . . . . . . . . . . . . 227Cheng Cheng and Jinfeng Wang

Hopfield Neural Network Guided Evolutionary Algorithm for AircraftPenetration Path Planning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 235

Nan Wang, Lin Wang, Xueqiang Gu, Jing Chen, and Lincheng Shen

Fuzzy Material Procurement Planning with Value-at-Risk . . . . . . . . . . . . . 245Gao-Ji Sun

Radial Basis Function Network for Endpoint Detection in Plasma EtchProcess . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 253

Shu-Kun Zhao, Min-Woo Kim, Yi-Seul Han, Se-Youn Jeon,Yun-Keun Lee, and Seung-Soo Han

A Novel Cellular Neural Network and Its Applications in MotionPlanning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 265

Yan Cao, Feng Zhang, Xuewu Wu, Sheng Lu, Yi Li, Lei Sun, andShuai Li

Evaluation of Enterprise ERP System Based on Neural NetworkOptimized by Ant Colony . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 275

Hanmei Wang, Dongxiao Niu, and Chengkai Cai

Pattern Recognition

Visual Attention-Based Ship Detection in SAR Images . . . . . . . . . . . . . . . . 283Ying Yu, Zhenghu Ding, Bin Wang, and Liming Zhang

Recognizing Multi-ships Based on Silhouette in Infrared Image . . . . . . . . 293Jun-Wei Lv, Bo Wang, and Dong-Mei Wang

SAR Images Feature Extraction and Recognition Based on G2DCDA . . . 301Liping Hu, Hongwei Liu, and Ping Zhou

Bridge Detection and Recognition in Remote Sensing SAR ImagesUsing Pulse Coupled Neural Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 311

Zhenming Peng, Shijun Liu, Guiyou Tian, Zhang Chen, and Tao Tao

Approaches to Robotic Vision Control Using Image PointingRecognition Techniques . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 321

Tian-Ding Chen

XX Table of Contents

A Hybrid Evolutionary Approach to Band Selection for HyperspectralImage Classification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 329

Hao Wu, Jiali Zhu, Shijin Li, Dingsheng Wan, and Lin Lin

Impulsive Environment Sound Detection by Neural Classification ofSpectrogram and Mel-Frequency Coefficient Images . . . . . . . . . . . . . . . . . . 337

Peerapol Khunarsa, Chidchanok Lursinsap, andThanapant Raicharoen

Classification and Control of Cognitive Radios Using HierarchicalNeural Network . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 347

Sheng Chen, Xiaochen Li, Qiao Cai, Nansai Hu, Haibo He,Yu-Dong Yao, and Joseph Mitola

Identifying Spatial Patterns of Land Use and Cover Change at DifferentScales Based on Self-Organizing Map . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 355

Hao Wu, Xiaoling Chen, Zhan Li, Sheng Wang, Wei Cui, andQian Meng

Colon Tumor Microarray Classification Using Neural Network withFeature Selection and Rule-Based Classification . . . . . . . . . . . . . . . . . . . . . . 363

Narissara Eiamkanitchat, Nipon Theera-Umpon, andSansanee Auephanwiriyakul

Signal and Image Processing

Dual Channel Speech Denoising Based on Sparse Representation . . . . . . . 373Gongxian Sun, Feng Gao, Jun Lv, and Ming Xiao

Frequency-Domain Blind Separation of Convolutive Speech Mixtureswith Energy Correlation-Based Permutation Correction . . . . . . . . . . . . . . . 381

Li-Dan Wang and Qiu-Hua Lin

A Blind Broadband Beamforming Method for Speech Enhancement . . . . 391Dongxia Wang, Fuliang Yin, and Fuming Sun

Algorithm and Simulation Research for Blind Nonlinear SystemIdentification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 397

Hongqiu Teng and Weizheng Ruan

Study on Digital Image Correlation Using Artificial Neural Networksfor Subpixel Displacement Measurement . . . . . . . . . . . . . . . . . . . . . . . . . . . . 405

Xiao-yong Liu, Qing-chang Tan, and Rong-li Li

Tree Modeling through Range Image Segmentation and 3D ShapeAnalysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 413

Mingrui Dai, Hongjun Li, and Xiaopeng Zhang

Table of Contents XXI

Combining Bag of Words Model and Information Theoretic Method forImage Clustering . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 423

Xue Bai and Siwei Luo

Fast Fuzzy c-Means Clustering Algorithm with Spatial Constraints forImage Segmentation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 431

Yanling Li and Gang Li

Application of Support Vector Machines to Airborne Hyper-SpectralImage Classification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 439

Ming-Der Yang, Kai-Siang Huang, Ji-Yuan Lin, and Pei Liu

Research for the Identification Method of the Image Definition Basedon a W-N Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 445

Miaofen Zhu, Guojin Chen, Yongning Li, and Wanqiang Wang

Analysis of Texture Images Generated by Olfactory System BionicModel . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 453

Chen Fang, Jin Zhang, Shangwu Zhu, Guang Li, and Rulong Wang

Do Neural Networks Have True Power for Natural LanguageProcessing? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 461

Qing Ma

Robust Channel Identification Using FOCUSS Method . . . . . . . . . . . . . . . 471Zhaoshui He and Andrzej Cichocki

Human Head Modeling Using NURBS Method . . . . . . . . . . . . . . . . . . . . . . 479Songyun Xie, Ningfei Li, and Zhuo Lv

Risk Sensitive Unscented Particle Filter for Bearing and FrequencyTracking . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 485

Peng Li, Shenmin Song, and Xinglin Chen

Fully Complex Multiplicative Neural Network Model and ItsApplication to Channel Equalization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 493

Kavita Burse, R.N. Yadav, and Sushil Chandra Shrivastava

Robotics and Control

Visual Navigation of a Novel Economical Embedded Multi-modeIntelligent Control System for Powered Wheelchair . . . . . . . . . . . . . . . . . . . 503

Jizhong Liu, Xuepei Wu, Jiating Xia, Guanghui Wang, andHua Zhang

Neural Networks L2-Gain Control for Robot System . . . . . . . . . . . . . . . . . . 513Zhi-gang Yu, Yong-liang Shen, Shen-min Song, and Da-wei Zhang

XXII Table of Contents

Neural Network Control of Spacecraft Formation Using RISEFeedback . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 521

Shicheng Wang, Haibo Min, Fuchun Sun, and Jinsheng Zhang

A Simplified Modular Petri Net for the Walking Assistant Robot . . . . . . . 529Zhen Zhang, Qixin Cao, Chuntao Leng, and Peihua Chen

Omni-directional Vision Based Tracking and Guiding System forWalking Assistant Robot . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 537

Xiaoxiao Zhu, Qixin Cao, Hongbing Tan, and Aolin Tang

Dynamic Eye-in-Hand Visual Servoing with Unknown TargetPositions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 545

Hesheng Wang, Weidong Chen, and Yun-hui Liu

Optimum Motion Control for Stacking Robot . . . . . . . . . . . . . . . . . . . . . . . . 551Xiaoming Zhang, Nan Luan, Zhong Dong, and Liming Chen

Passive Target Tracking Using an Improved Particle Filter AlgorithmBased on Genetic Algorithm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 559

Yue Liang, Zhong Liu, and Guodong Zhang

Large-Scale Structure Assembly by Multiple Robots Which May BeBroken . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 567

Masayuki Otani, Kiyohiko Hattori, Hiroyuki Sato, andKeiki Takadama

Real-Time Five DOF Redundant Robot Control Using a DecentralizedNeural Scheme . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 577

Ramon Garcia-Hernandez, Edgar N. Sanchez, Maarouf Saad, andEduardo Bayro-Corrochano

Improving Transient Response of Adaptive Control Systems UsingMultiple Neural Network Models . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 587

Xiao-li Li, Xiang Yu, and Yan Zhang

An Information Theoretic Approach for Design MIMO NetworkedControl Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 595

Jianhua Zhang and Hong Wang

An Engineering Solution for Decoupling Control of Aircraft MotionUsing Affine Neural Network . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 603

Tsurng-Jehng Shen

Black-Box Input-Output Identification of a Class of Nonlinear SystemsUsing a Discrete-Time Recurrent Neurofuzzy Network . . . . . . . . . . . . . . . . 615

Marcos A. Gonzalez-Olvera and Yu Tang

Table of Contents XXIII

Passivity Analysis of Stochastic Neural Networks with MixedTime-Varying Delays . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 623

Qinggao He and Qiankun Song

A Novel Recovering Initial Conditions Method from SpatiotemporalComplex Dynamical System . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 631

Longquan Dai, Xiaoyun Kang, and Minfen Shen

An Intelligent Control Scheme for Nonlinear Time-Varying Systemswith Time Delay . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 639

Sun Zhou, Guoli Ji, Wei Lin, and Zijiang Yang

Master-Slave Chaos Synchronization of Uncertain Nonlinear GyrosUsing Wavelet Neural Network . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 647

Chien-Jung Chiu, Chun-Fei Hsu, Tsu-Tian Lee, and Jang-Zern Tsai

Transportation Systems

WNN-Based Intelligent Transportation Control System . . . . . . . . . . . . . . . 655Chiu-Hsiung Chen, Ya-Fu Peng, and Tsai-Sheng Kao

Incident Detection in Urban Road . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 663Wu Bing-Fei, Kao Chih-Chung, Chen Chao-Jung, Li Yen-Feng,Chen Ying-Han, and Yang Cheng-Yen

An Efficient Web-Based Tracking System through Reduction ofRedundant Connections . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 671

Bing-Fei Wu, Ying-Han Chen, Chao-Jung Chen,Chih-Chung Kao, and Po-Chia Huang

An Embedded All-Time Blind Spot Warning System . . . . . . . . . . . . . . . . . 679Bing-Fei Wu, Chao-Jung Chen, Yen-Feng Li, Cheng-Yen Yang,Hai-Chang Chien, and Chia-Wei Chang

Design of Autonomous Parallel Parking Using Fuzzy Logic Controllerwith Feed-Forward Compensation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 687

Bo-Chiuan Chen, Yi-Wen Huang, Shiuh-Jer Huang, andBo-Jhao Liu

Telematics Services through Mobile Agents . . . . . . . . . . . . . . . . . . . . . . . . . . 695Jonathan Lee, Shin-Jie Lee, Hsi-Min Chen, and Wen-Tin Lee

Multi-agent System Model for Urban Traffic Simulation and OptimizingBased on Random Walk . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 703

Yu Cheng, Tao Zhang, and Jianfei Wang

Vehicle Detection Using Bayesian Enhanced CoBE Classification . . . . . . . 713Zhong Zheng, Shen Xu, and Yi L. Murphey

XXIV Table of Contents

Vibration Analysis of a Submarine Model Based on an Improved ICAApproach . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 721

Wei Cheng, Zhousuo Zhang, and Zhengjia He

A Hierarchical Salient-Region Based Algorithm for Ship Detection inRemote Sensing Images . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 729

Fukun Bi, Feng Liu, and Lining Gao

Industrial Applications

Turning Tool Wear Monitoring Based on Fuzzy Cluster Analysis . . . . . . . 739Hongtao Chen, Sui Huang, Dengwan Li, and Pan Fu

Part-Machine Clustering: The Comparison between AdaptiveResonance Theory Neural Network and Ant Colony System . . . . . . . . . . . 747

Bo Xing, Wen-Jing Gao, Fulufhelo V. Nelwamondo,Kimberly Battle, and Tshilidzi Marwala

Fault Diagnosis of Bearings Based on Time-Delayed Correlation andDemodulation as Well as B-Spline Fuzzy Neural Networks . . . . . . . . . . . . . 757

Pan Fu, Li Jiang, A.D. Hope, and Weiling Li

Fast and Noninvasive Determination of Viscosity of Lubricating OilBased on Visible and Near Infrared Spectroscopy . . . . . . . . . . . . . . . . . . . . 765

Lulu Jiang, Yu Zhang, Fei Liu, Lihong Tan, and Yong He

Chattering-Free Adaptive Wavelet Neural Network Control for a BLDCMotor via Dynamic Sliding-Mode Approach . . . . . . . . . . . . . . . . . . . . . . . . . 773

Chun-Fei Hsu and Chih-Hu Wang

A New BPSO Algorithm and Applications in Interruptible LoadManagement . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 783

Ping Huang, Pengcheng Li, Yao Zhang, Jinyang Yu, andYongquan Yuan

Force Identification by Using Support Vector Machine and DifferentialEvolution Optimization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 793

Zhichao Fu and Wei Cheng

Soft Sensor Modeling of Ball Mill Load via Principal ComponentAnalysis and Support Vector Machines . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 803

Jian Tang, Lijie Zhao, Wen Yu, Heng Yue, and Tianyou Chai

An Approach Based on Hilbert-Huang Transform and Support VectorMachine for Intelligent Fault Diagnosis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 811

Chang Che and Dan Hu

Table of Contents XXV

Real-World Applications

Study on Factors of Floating Women’s Income in Jiangsu ProvinceBased on Bayesian Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 819

Yingyu Ge, Chunping Li, and Qin Yin

Variation Trend Analysis of Groundwater Depth in Area of WellIrrigation in Sanjiang Plain Based on Wavelet Neural Network . . . . . . . . . 829

Hong Ding, Dong Liu, and Fei-fei Zhao

A Petri-Net Modeling Method of Agent’s Belief-Desire-Intention andIts Application in Logistics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 837

Weifeng Zhu and Qi Fei

Supply Chain Flexibility Assessment by Multivariate Regression andNeural Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 845

Ananda S. Jeeva and William W. Guo

An Intelligent Mobile Location-Aware Book Recommendation Systemwith Map-Based Guidance That Enhances Problem-Based Learning inLibraries . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 853

Chin-Ming Chen and Yu-Chieh Yang

Applying Least Squares Support Vector Regression with GeneticAlgorithms for Radio-Wave Path-Loss Prediction in SuburbanEnvironment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 861

Kuo-Ping Lin, Kuo-Chen Hung, Jen-Chang Lin,Chi-Kai Wang, and Ping-Feng Pai

A Probabilistic Neural Network Approach to Modeling the Impact ofTobacco Control Policies by Gender . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 869

Xiaojiang Ding, Chung-Hsing Yeh, and Susan Bedingfield

The BPNN-Fuzzy Logic Pre-control of an Underground Project in CityCenter of Shanghai . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 877

Zhenzhen Yin, Youliang Chen, and Peng Wang

Optimal Parameter Inversion of Marine Water Quality Model Using aBPNN Data-Driven Model — A Case Study on DIN . . . . . . . . . . . . . . . . . 885

Mingchang Li, Bin Zhou, Shuxiu Liang, and Zhaochen Sun

Determination of Sugar Content of Instant Milk-Tea Using EffectiveWavelengths and Least Squares-Support Vector Machine . . . . . . . . . . . . . . 893

Fei Liu and Yong He

Sports Video Summarization Based on Salient Motion Entropy andInformation Analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 901

Bo-Wei Chen, Jhing-Fa Wang, Jia-Ching Wang, and Chen-Yu Chen

XXVI Table of Contents

A Neural Network Based Algorithm for the Retrieval of PrecipitableWater Vapor from MODIS Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 909

Shenglan Zhang, Lisheng Xu, Jilie Ding, Hailei Liu, and Xiaobo Deng

A Neural Network Based Approach to Wind Energy YieldForecasting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 917

Piers R.J. Campbell, Faheem Ahmed, Haydar Fathulla, andAhmad D. Jaffar

Research on New Intelligent Business-Oriented Decision-Making ModelBased on MA and GA . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 925

Weijin Jiang and Qing Jiang

Author Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 933