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2005 International Conference on Natural Computation 2005 International Conference on Fuzzy Systems and Knowledge Discovery 27 - 29 August 2005, Changsha, China Honorary Chairs Shun-ichi Amari, Japan Lotfi A. Zadeh, USA Advisory Board Toshio Fukuda, Japan Kunihiko Fukushima, Japan Tom Gedeon, Australia Aike Guo, China Zhenya He, China Janusz Kacprzyk, Poland Nik Kasabov, New Zealand John A. Keane, UK Soo-Young Lee, Korea Erkki Oja, Finland Nikhil R. Pal, India Witold Pedrycz, Canada Jose Principe, USA Harold Szu, USA Shiro Usui, Japan Xindong Wu, USA Lei Xu, Hong Kong Xin Yao, UK Syozo Yasui, Japan Bo Zhang, China Yixin Zhong, China Jacek M. Zurada, USA General Chair He-An Luo, China General Co-Chairs Lipo Wang, Singapore Yunqing Huang, China Program Chairs ICNC’05: Ke Chen, UK Yew Soon Ong, Singapore FSKD’05: Yaochu Jin, Germany Local Chairs Renren Liu, China Xieping Gao, China Proceedings Chair Fen Xiao, China Publicity Chair Hepu Deng, Australia Sponsorship Chair Shaoping Ling, China Webmaster Linai Kuang, China Yanyu Liu, China CALL FOR PAPERS AND SPECIAL SESSION PROPOSALS The 2005 International Conference on Natural Computation (ICNC’05) and the 2005 International Conference on Fuzzy Systems and Knowledge Discovery (FSKD’05) will be jointly held in Changsha, China from 27 - 29 August 2005. The conferences will feature the most up-to-date research results in computational algorithms inspired from nature, including biological, ecological, and physical systems. It is an exciting and emerging interdisciplinary area in which a wide range of techniques and methods are being studied for dealing with large, complex, and dynamic problems. Specific areas include, but are not limited to neural computation, evolutionary computation, quantum computation, DNA computation, chemical computation, information processing in cells and tissues, molecular computation, computation with words, fuzzy computation, granular computation, artificial life, swarm intelligence, ants colony, artificial immune systems, etc., with applications to knowledge discovery, finance, operations research, and more. The joint conferences will also promote cross-fertilization over these exciting and yet closelyrelated areas. Registration to either conference will entitle a participant to the proceedings and technical sessions of both conferences, as well as the conference banquet and meals. Publications: All accepted papers of ICNC’05 and FSKD' 05 with proper registrations will be published in Springer-Verlag’s Lecture Notes in Computer Science (LNCS) and Lecture Notes in Artificial Intelligence (LNAI), respectively. Both the LNCS and LNAI are indexed in SCI-Expanded. A selected number of authors will be invited to expand and revise their papers for possible inclusions in peerreviewed international journals / edited books. Keynote Speakers: Shun-ichi Amari, Japan; Aike Guo, China; Nikhil R. Pal, India; Xin Yao, UK About Changsha, Hunan, China: Changsha, the capital of Hunan Province, is a historic and cultural city in southern China and a busy port on the Xiangjiang River, with a population over 6 million. Founded over 3000 years ago, the city became the capital of the Zhou state (951-960 AD) and a leading commercial center during the Song dynasty (960-1279 AD). Changsha International Airport is easily accessible with direct flights to all major domestic and some international destinations. Other famous tourist destinations in Hunan include the Zhangjiajie National Park (natural heritage listed by the UN) and Fenghuang (Phoenix) Ancient City. Important Dates : Paper Submission Deadline 15 March 2005 Notification of Acceptance : 15 April 2005 : Camera-Ready Copy Due 15 May 2005 Website: http://www.xtu.edu.cn/nc2005 http://www.ntu.edu.sg/home/elpwang/nc2005 Contact: Email: [email protected]; Phone/Fax: +86 732 829 2201 / 829 3249 Special Sessions: Each special session may have 4 to 6 papers. Proposals for special sessions should be sent to the respective Program Chairs, i.e., Ke Chen (neural computation, [email protected]); Yew Soon Ong (other topics in ICNC’05, [email protected]); Yaochu Jin (FSKD’05, [email protected]) Submission of Papers: Authors are invited to submit a full paper as an electronic file (postscript, pdf or Word format) at the conference website. The submission of a paper implies that the paper has not been published or is under review elsewhere and will be registered if accepted. Templates are available at the Springer website. Sponsorship: ICNC’05- FSKD’05 will offer product vendors a sponsorship package and/or an opportunity to interact with conference participants. For more information, consult the conference webpage. Sponsor / Organizer: Xiangtan University, China Technical Co-Sponsors: IEEE Circuits and Systems Society; IEEE Control Systems Society In Co-operation with: International Neural Network Society; Chinese Association for Artificial Intelligence; European Neural Network Society; Fuzzy Mathematics and Systems Association of China; Japanese Neural Network Society; Asia-Pacific Neural Network Assembly Program Committees ICNC’05 Shigeo Abe, Japan Kazuyuki Aihara, Japan Davide Anguita, Italy Abdesselam Bouzerdoum, Australia Gavin Brown, UK Martin Brown, UK Laiwan Chan, Hong Kong Sheng Chen, UK Shu-Heng Chen, Taiwan YanQiu Chen, China Vladimir Cherkassky, USA Sung-Bae Cho, Korea Sungzoon Cho, Korea Vic Ciesielski, Australia Keshav Dahal, UK Kalyanmoy Deb, India Emilio Del-Moral-Hernandez, Brazil Andries Engelbrecht, South Africa Tomoki Fukai, Japan Lance Fung, Australia Takeshi Furuhashi, Japan Hiroshi Furutani, Japan John Q. Gan, UK Wen Gao, China Peter Geczy, Japan Fanji Gu, China Osamu Hoshino, Japan Zeng-Guang Hou, Canada Chenyi Hu, USA Masumi Ishikawa, Japan Robert John, UK Mohamed Kamel, Canada Yoshiki Kashimori, Japan Samuel Kaski, Finland Andy Keane, UK Graham Kendall, UK Jong-Hwan Kim, Korea JungWon Kim, UK Irwin King, Hong Kong Natalio Krasnogor, UK Vincent C.S. Lee, Australia Stan Z. Li, China XiaoLi Li, UK Derong Liu, USA Jian-Qin Liu, Japan Bao-Liang Lu, China Simon Lucas, UK Frederic Maire, Australia Jacek Mandziuk, Poland Satoshi Matsuda, Japan Masakazu Matsugu, Japan Bob McKay, Australia Ali A. Minai, USA Hiromi Miyajima, Japan Pedja Neskovic, USA Richard Neville, UK Tohru Nitta, Japan Yusuke Nojima, Japan Takashi Omori, Japan M. Palaniswami, Australia Andrew P. Paplinski, Australia Asim Roy, USA Bernhard Sendhoff, Germany Qiang Shen, UK Jang-Kyoo Shin, Korea Leslie Smith, UK Andy Song, Australia Lambert Spannenburg, Sweden Mingui Sun, USA Johan Suykens, Belgium Hideyuki Takagi, Japan Kay Chen Tan, Singapore Kiyoshi Tanaka, Japan Seow Kiam Tian, Singapore Peter Tino, UK Kar-Ann Toh, Singapore Yasuhiro Tsujimura, Japan Ganesh Kumar Venayagamoorthy, USA Brijesh Verma, Australia Ray Walshe, Ireland Jun Wang, Hong Kong Rubin Wang, China Xizhao Wang, China Sumio Watanabe, Japan Stefan Wermter, UK Kok Wai Wong, Australia Hong Yan, Hong Kong Ron Yang, UK Daniel Yeung, Hong Kong Ali M. S. Zalzala, UK Xiaojun Zeng, UK David Zhang, Hong Kong Liming Zhang, China Qiangfu Zhao, Japan FSKD’05 Janos Abonyi, Hungary Jorge Casillas, Spain Pen-Chann Chang, Taiwan Chaochang Chiu, Taiwan Feng Chu, Singapore Oscar Cordon, Spain Honghua Dai, Australia Fernando Gomide, Brazil Saman Halgamuge, Australia Kaoru Hirota, Japan Frank Hoffmann, Germany Jinglu Hu, Japan Weili Hu, China Chongfu Huang, China Eyke Hüllermeier, Germany Hisao Ishibuchi, Japan Frank Klawoon, Germany Naoyuki Kubota, Japan Sam Kwong, Hong Kong Michael Margaliot, Israel Ralf Mikut, Germany Pabitra Mitra, India Tadahiko Murata, Japan Detlef Nauck, UK Hajime Nobuhara, Japan Andreas Nürnberger, Germany Da Ruan, Belgium Thomas Runkler, Germany Rudy Setiono, Singapore Takao Terano, Japan Kai Ming Ting, Australia Yiyu Yao, Canada Gary Yen, USA Xinghuo Yu, Australia Jun Zhang, China Shichao Zhang, Australia Yanqing Zhang, USA Zhi-Hua Zhou, China Topics of Interest ICNC’05 Neural Network Models Evolutionary Learning Learning algorithms Artificial life Classifier systems Neural network architectures Neurodynamics & spiking neurons Bayesian evolutionary algorithms Statistical neural network models Self-adaptation Quantum Computing Evolutionary Theory Membrane Computing Genetic operators Artificial Immune Systems Coding methods Swarm Intelligence Convergence Ants Colony Co-evolution Cognitive Science Fitness landscape & approximation Evolutionary Methodology Neurobiological systems Evolution strategies Perception, emotion, and cognition Genetic algorithms Selective attention Genetic programming Vision and auditory models Evolvable hardware Hardware Implementation Multi-objective optimization Analog, digital, & hybrid neuro-chips Molecular & DNA computing Artificial retina & cochlear chips FSKD’05 Theory and Foundations Fuzzy theory and models Uncertainty management in data mining Statistical & probabilistic data mining Methods and Algorithms Fuzzy classification and clustering Fuzzy database mining Information fusion Neuro-fuzzy systems Fuzzy control Fuzzy hardware architectures Granular computing Knowledge visualization and exploration Parallel and distributed data mining Decision trees Inductive logic programming Data cleaning HYBRID SYSTEMS: Evolutionary neural systems, Fuzzy neural systems, Symbolic-neural hybrid systems, Soft computing, Evolutionary reinforcement learning, Evolutionary fuzzy systems, Evolutionary neuro-fuzzy systems APPLICATIONS Aerospace Bioinformatics Circuit design Route and network planning Scheduling Forecasting Computer vision Data mining Computer security Education Pattern recognition Expert system Finance & electronic commerce Human-computer interaction Intelligent control Intelligent transportation systems Natural language processing Parallel and distributed processing Internet Robotics Optimization Operations research Sensorimotor systems Signal processing Speech recognition Time series prediction Homeland security Dynamic optimization problems