ISNN 2009 - The Sixth International Symposium on Neural Networks (ISNN 2009)

Website http://isnn2009.hust.edu.cn | Edit Freely

Category ISNN 2009

Deadline: December 15, 2008 | Date: May 26, 2009

Venue/Country: Wuhan, China

Updated: 2010-06-04 19:32:22 (GMT+9)

Call For Papers - CFP

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.

PROGRAM TOPICS

1. Theories

Computational neuroscience

Connectionist theory

Cognitive science

Mathematical modeling of neural systems

Neurodynamic analysis

Neurodynamic optimization

Adaptive dynamic programming

Neuroinformatics

Bioinformatics

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

Robotics

Games

Telecommunications

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

IMPORTANT DATES

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: http://isnn2009.hust.edu.cn or

http://www.mae.cuhk.edu.hk/~isnn2009

For inquiries, please contact the secretariat at: isnn2009mae.cuhk.edu.hk

or isnn2009mail.hust.edu.cn