By Lipo Wang
This system committee chosen 313 conscientiously revised complete papers and 189 brief papers for presentation in 3 volumes from 1887 submissions. the 1st quantity comprises the entire contributions relating to studying algorithms and architectures in neural networks, neurodynamics, statistical neural community versions and help vector machines, and different issues in neural community versions; cognitive technological know-how, neuroscience informatics, bioinformatics, and bio-medical engineering, and neural community functions corresponding to communications and computing device networks, specialist approach and informatics, and fiscal engineering. the second one quantity concentrates on neural community functions as development attractiveness and diagnostics, robotics and clever keep watch over, sign processing and multi-media, and different neural community functions; evolutionary studying, synthetic immune platforms, evolutionary idea, membrane, molecular, DNA computing, and ant colony platforms. The 3rd quantity offers with evolutionary technique, quantum computing, swarm intelligence and clever brokers; typical computation functions as bioinformatics and bio-medical engineering, robotics and clever keep an eye on, and different purposes of common computation; implementations of usual computation, and fuzzy neural structures in addition to gentle computing.
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Extra resources for Advances in Natural Computation
2 j =1 where y j , fˆ ( x j ) are the target output and corresponding network output of the j th sample, respectively, and J is the number of training samples. 1 Introduction to Immune Genetic Algorithm (IGA) IGA is an algorithm based on immune principle. It has the same advantages as other stochastic optimization methods possess, but it has the following differences from others for instance GA: (1) It works on the memory cells, and ensures that it converges on the global optimal solution rapidly.
376 XXXVI Table of Contents – Part II Post-nonlinear Blind Source Separation Using Wavelet Neural Networks and Particle Swarm Optimization Ying Gao, Shengli Xie . . . . . . . . . . . . . . . . . . . . . 386 An MRF-ICA Based Algorithm for Image Separation Sen Jia, Yuntao Qian . . . . . . . . . . . . . . . . . . . . . 391 Multi-view Face Recognition with Min-Max Modular SVMs Zhi-Gang Fan, Bao-Liang Lu . . . . . . . . . . .
266 Adaptive Neural Network Control for Multi-ﬁngered Robot Hand Manipulation in the Constrained Environment Gang Chen, Shuqing Wang, Jianming Zhang . . . . . . . . . . . 270 Control of a Giant Swing Robot Using a Neural Oscillator Kiyotoshi Matsuoka, Norifumi Ohyama, Atsushi Watanabe, Masataka Ooshima . . . . . . . . . . . . . . . . . . . . . . 274 Neural Network Indirect Adaptive Sliding Mode Tracking Control for a Class of Nonlinear Interconnected Systems Yanxin Zhang, Xiaofan Wang .