Special Session on Ying-Yang Computation

for Brain, Behavior and Machine Learning

 

Beijing, China, October 13-15, 2005

 

This special session at the second International Conference on Neural Networks and Brain (ICNN&B2005, http://cnnc.org.cn/) is focused on Ying-Yang Computation and its applications in brains&behavior, machine learning, bioinformatics, medical informatics, and health.

 

Ying-Yang (Yin-Yang, YinYang, Yin Yang or Ying Yang) Computation is a scientific computing methodology by extracting useful mathematical models from a traditional Ying-Yang theory. In recent years, a formal scientific basis has emerged that uncovered Ying-Yang to a universal theoretical methodology for different sciences and applications such as analytical methodology, divide-and-conquer, decision and coordination, brain science, biology, medicine, balance and harmony in human health and complex systems under uncertainty, etc. Ying and Yang, the two fundamental components of Taichi, are two symmetrical and complementary coexisting aspects of one matter that are mutually coupled in an equilibrium or even a harmony to jointly face a same world with shared tasks.  The balance or harmony between Ying and Yang is important and crucial to various complex systems such as the human brain and the human body in terms of stability, reliability, health, and robustness.

 

Topics of interest include (but are not limited to):

• Ying-Yang neural networks

• Ying-Yang kernel machines

• Ying-Yang mathematics

• Ying-Yang statistics

neurons & networks

adaptability & behavior

brains & social behavior

molecules & brains

neural networks, granular neural networks, statistical neural networks

• evolutionary computation, genetic algorithms, genetic neural networks

• statistical learning, support vector machines

• machine learning, data mining and knowledge discovery

• bioinformatics

medical informatics, medicine, and health systems

intelligent Web applications

 

Paper Online Submission: please follow the guide at http://cnnc.org.cn/.

 

 

Special Session Co-Chairs

Yan-Qing Zhang

Georgia State University, USA

yzhang@cs.gsu.edu

 

Zhang Yi

University of Electronic Science and Technology of China

zhangyi@uestc.edu.cn