CFP: ISNN2009 (May 26-29, 2009; Wuhan, China)

Discussion in 'Information Technology' started by WCCI, Sep 17, 2008.

  1. WCCI

    WCCI New Member

    Mar 26, 2007
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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:
    http: or

    For inquiries, please contact the secretariat at: or

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