Sixth International Symposium on Neural Networks (ISNN 2009)

Venue: Wuhan

Location: Wuhan, China

Event Date/Time: May 26, 2009 End Date/Time: May 29, 2009
Early Registration Date: Feb 01, 2009
Abstract Submission Date: Dec 01, 2008
Paper Submission Date: Dec 01, 2008
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The Sixth International Symposium on Neural Networks (ISNN 2009) will be held in Wuhan, following the successes of previous events. Composed of three parts (Wuchang, Hankou, and Hanyang), Wuhan is the capital of Hubei Province in central China with a long history and rich heritages. During the warrior-states period (481-221 BC), Wuhan is a part in Chu Kingdom It began to prosper as a commercial town about two-thousand years ago, when it was called Yingwuzhou (Parrot beach). During the Song Dynasty (960-1279 AD), the region became one of the most prosperous commercial centers along the Yangtze River. By the end of the Ming Dynasty (1368-164 AD), Hankou was one of the four most famous cities in China. Today, Wuhan is an educational and industrial center and a hub of water and rail transportation in China.

ISNN 2009 aims to provide a high-level international forum for scientists, engineers, and educators to present the state of the art of neural network research and applications in related fields. The symposium will feature plenary speeches given by world renowned scholars, regular sessions with broad coverage, and special sessions focusing on popular topics.

Prospective authors are invited to contribute high-quality papers to ISNN 2009. In addition, proposals for special sessions within the technical scopes of the symposium are solicited. Special sessions, to be organized by internationally recognized experts, aim to bring together researchers in special focused topics. Papers submitted for special sessions are to be peer-reviewed with the same criteria used for the contributed papers. Researchers interested in organizing special sessions are invited to submit formal proposals to ISNN 2009. A special session proposal should include the session title, a brief description of the scope and motivation, names, contact information and brief biographical information on the organizers.

Authors are invited to submit full-length papers (10 pages maximum) by the submission deadline through the online submission system. Potential organizers are also invited to enlist five or more papers with cohesive topics to form special sessions. The submission of a paper implies that the paper is original and has not been submitted under review or is not copyright-protected elsewhere and will be presented by an author if accepted. All submitted papers will be refereed by experts in the field based on the criteria of originality, significance, quality, and clarity. The authors of accepted papers will have an opportunity to revise their papers and take consideration of the referees' comments and suggestions. Papers presented at ISNN 2009 will be published in the EI-indexed proceedings (Springer LNCS) and some selected good papers will be included in special issues of several SCI-indexed journals.


1. Theories
Computational neuroscience
Connectionist theory
Cognitive science
Mathematical modeling of neural systems
Neurodynamic analysis
Neurodynamic optimization
Adaptive dynamic programming
Self-organization and goal-oriented learning
Embodied intelligence

2. Models
Embedded neural systems
Forward neural networks
Recurrent neural networks
Gene regulatory network
Consensus in neural networks
Competitive networks
Coupled network model
Hybrid intelligent systems
Hardware implementation
Evolving neural networks
Complex neural models
Neural networks models in economics and marketing
Neural models in finance
Fuzzy neural networks
Hierarchical memory organizations
Incremental learning models
Swarm intelligence and optimization
Bio-inspired intelligent models
Associative memory models
Adaptive sensory-motor coordination
Cellular neural network models
Self-organizing map models

3. Algorithms
Probabilistic methods
information-theoretic methods
Supervised and unsupervised learning
Semi-supervised learning
Reinforcement learning
Support vector machines
Kernel methods
Principal component analysis
Independent component analysis
Boosting and adaptive boost algorithms
Multi-resolution algorithms
Assembly learning algorithms
Autonomous mental development
Hybrid optimization algorithms
Evolutionary computation algorithms
Fuzzy modeling and fuzzy systems
Statistical learning methods

4. Applications
Brain imaging
Medical imaging processing
Data mining and knowledge discovery
Pattern recognition
Machine learning and learning control systems
Time series analysis
Financial data prediction
Image and signal processing
Intelligent control system
Expert system
Computer Vision
Transportation systems
Intrusion detection
Information security
Fault diagnosis
Real-world applications
Multi-agent learning systems
Planning and scheduling
Decision-making support systems
Computational intelligence for power systems
Sensor networks
Multimedia systems
Biomedical data analysis
Human-robot interaction
Intelligent navigation systems
Speech and language processing
Sequence learning and sequential behaviors
Computational intelligence for text mining
Computational intelligence for Web mining


Special session proposals deadline: November 1, 2008
Paper submission deadline: December 1, 2008
Notification of acceptance: January 1, 2009
Camera-ready copy and author registration: February 1, 2009

More information can be found at:
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For inquiries, please contact the secretariat at: or