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

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

ISBN-10: 364214831X

ISBN-13: 9783642148316

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 offered have been rigorously reviewed and chosen from a quite a few submissions. The papers are prepared in topical sections on neural networks, evolutionary studying & genetic algorithms, fuzzy concept and types, fuzzy platforms and gentle 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, synthetic existence and synthetic immune structures, clever computing in picture processing, certain consultation on new hand dependent biometric tools, specific consultation on contemporary advances in snapshot segmentation, targeted consultation on theories and functions in complicated clever computing, specific consultation on seek established software program engineering, exact consultation on bio-inspired computing and purposes, distinctive consultation on increase in dimensionality relief equipment and its purposes, exact consultation on protein and gene bioinformatics: tools and purposes

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

ISBN-10: 364214831X

ISBN-13: 9783642148316

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 offered have been rigorously reviewed and chosen from a quite a few submissions. The papers are prepared in topical sections on neural networks, evolutionary studying & genetic algorithms, fuzzy concept and types, fuzzy platforms and gentle 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, synthetic existence and synthetic immune structures, clever computing in picture processing, certain consultation on new hand dependent biometric tools, specific consultation on contemporary advances in snapshot segmentation, targeted consultation on theories and functions in complicated clever computing, specific consultation on seek established software program engineering, exact consultation on bio-inspired computing and purposes, distinctive consultation on increase in dimensionality relief equipment and its purposes, exact consultation on protein and gene bioinformatics: tools and purposes

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Read Online or Download Advanced intelligent computing theories and applications : 6th International Conference on Intelligent Computing, ICIC 2010, Changsha, China, August 18-21, 2010. Proceedings PDF

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Additional resources 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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A New Improved CMAC Neural Network. In: Proc. CCDC 2010 (accepted 2010) 13. : A New Control Strategy of Artificial Climate Chest Temperature and Humidity on Bi-CMAC. In: Proc. 2009 Chinese Control and Decision Conference (CCDC 2009), vol. 17(7), pp. com Abstract. In order to apply the Extended Alternating Projection Neural Network (EAPNN) better in pattern recognition, signal processing and sensor network, the paper makes futher research on the EAPNN and deduces several important conclusions from the mathematical expression to the steady state value of EAPNN, and strict mathematical proofs to these corollaries are also given.

While the system is entering in or close to expectation, due to the absolute value of error e is less, therefore ICA-CMAC controller plays the main role rather than proportional control. Direct Inverse Model Control Based on a New Improved CMAC Neural Network 29 In addition, there is an additional extremum controller being used as an assistant controller to correct fast when the deviation is large, which is according to the principles of optimal control. The role of expert coordinator is to switch controller according to the current error signal.

In the Enhanced I-ELM method, at any step, among P trial of hidden nodes, the hidden nodes with greatest residual error reduction is chosen and added. This method is also applied in this paper. Hence, we have our time-variant version of I-ELM and EI-ELM. Assume we have a set of training data {(x[n], t[n])}N n=1 , the target output matrix T, the residual matrix E, the maximum number of hidden nodes Kmax , and the expected learning accuracy . We get Algorithm 1. Algorithm 1. I-ELM-TV(in the case of P = 1) and EI-ELM-TV 1: Let k = 0 and residual error E = T, 2: while k < Kmax and E > , do 3: Increase by one the number of hidden nodes: k = k + 1; 4: for p = 1 : P do 5: Assign random input weight and bias {w(p)b,ik } for new hidden node; 6: Calculate the hidden layer output submatrix for new hidden node ⎡ ⎤ h(p)k [1] · f [1]T ⎦ ··· δG(p) = ⎣ h(p)k [N ] · f [N ]T N×B 7: Calculate the output weight δΩ(p) for the new hidden node δΩ(p) = δG†(p) · E 8: Calculate the residual error after adding the new hidden node k: E(p) = E − δG(p) · δΩ(p) 9: end for 10: Let p∗ = {p|min1 p P E(p) }.

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Advanced intelligent computing theories and applications : 6th International Conference on Intelligent Computing, ICIC 2010, Changsha, China, August 18-21, 2010. Proceedings by Huang D.-S., Zhao Z., Bevilacqua V., Figueroa J.C. (eds.)


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