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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
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