Download Advanced intelligent computing theories and applications : by Huang D.-S., Zhao Z., Bevilacqua V., Figueroa J.C. (eds.) PDF

By Huang D.-S., Zhao Z., Bevilacqua V., Figueroa J.C. (eds.)

This ebook constitutes the refereed court cases of the sixth overseas convention on clever Computing, ICIC 2010, held in Changsha, China, in August 2010. The eighty five revised complete papers awarded have been conscientiously reviewed and chosen from a a variety of submissions. The papers are equipped in topical sections on neural networks, evolutionary studying & genetic algorithms, fuzzy conception and types, fuzzy structures and tender computing, particle swarm optimization and area of interest know-how, supervised & semi-supervised studying, unsupervised & reinforcement studying, combinatorial & numerical optimization, platforms biology and computational biology, neural computing and optimization, nature encouraged computing and optimization, wisdom discovery and information mining, man made lifestyles and synthetic immune structures, clever computing in photo processing, unique consultation on new hand established biometric equipment, distinctive consultation on fresh advances in snapshot segmentation, targeted consultation on theories and functions in complex clever computing, unique consultation on seek dependent software program engineering, detailed consultation on bio-inspired computing and functions, distinct consultation on increase in dimensionality aid equipment and its purposes, designated consultation on protein and gene bioinformatics: tools and functions

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Additional info for Advanced intelligent computing theories and applications : 6th International Conference on Intelligent Computing, ICIC 2010, Changsha, China, August 18-21, 2010. Proceedings

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08040106808. References 1. : Alternating Projection Neural Networks. IEEE Trans. CAS 36, 846–857 (1989) 2. : Target signal detection and target localization. Naval University of Engineering, Wuhan (2001) 3. : Sufficient and necessary condition of the extended alternating projection neural network configured as a content addressable memory. Tien Tzu Hsueh Pao/Acta Electronica Sinica 32, 596–600 (2004) 4. : An extrapolation algorithm for band-limited signals based on Alternating Projection Neural Networks.

Simulation result of conventional CMAC From the simulations of sine wave signal and step signal, it can be seen that ICA-CMAC applied in direct inverse model control of CSTR can accelerate the convergence to achieve the needs of real-time control. 6 Conclusions Inverse control combined with neural network can achieve the dynamic control of the nonlinear system. In this paper, a new Improved Credit Assigned CMAC is designed 32 Y. Ge, S. Ma, and X. Luo based on the concept of credit assignment. As a result, the learning speed of conventional CMAC is improved.

Based on a novel Lyapunov-Krasovskii functional and the Kronecker product technique, a delay-dependent criterion is derived to ensure the global synchronization. The criteria is expressed within the framework of linear matrix inequalities, which can be easily computed and checked. Finally, a typical example with chaotic nodes is given to illustrate the effectiveness of the proposed result.

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