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Computational Intelligence: Revised and Selected Papers of the International Joint Conference IJCCI 2009 held in Funchal-Madeira, Portugal, October 2009 (Studies in Computational Intelligence, 343)

معرفی کتاب «Computational Intelligence: Revised and Selected Papers of the International Joint Conference IJCCI 2009 held in Funchal-Madeira, Portugal, October 2009 (Studies in Computational Intelligence, 343)» نوشتهٔ Leonid Perlovsky (auth.), Kurosh Madani, António Dourado Correia, Agostinho Rosa, Joaquim Filipe (eds.)، منتشرشده توسط نشر Springer-Verlag Berlin Heidelberg در سال 2011. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است.

The present book includes a set of selected extended papers from the first International Joint Conference on Computational Intelligence (IJCCI 2009), held in Madeira, Portugal, from 5 to 7 October 2009. The conference was composed by three co-located conferences: The International Conference on Fuzzy Computation (ICFC), the International Conference on Evolutionary Computation (ICEC), and the International Conference on Neural Computation (ICNC). Recent progresses in scientific developments and applications in these three areas are reported in this book. IJCCI received 231 submissions, from 35 countries, in all continents. After a double blind paper review performed by the Program Committee, only 21 submissions were accepted as full papers and thus selected for oral presentation, leading to a full paper acceptance ratio of 9%. Additional papers were accepted as short papers and posters. A further selection was made after the Conference, based also on the assessment of presentation quality and audience interest, so that this book includes the extended and revised versions of the very best papers of IJCCI 2009. Commitment to high quality standards is a major concern of IJCCI that will be maintained in the next editions, considering not only the stringent paper acceptance ratios but also the quality of the program committee, keynote lectures, participation level and logistics. Front Matter....Pages - Front Matter....Pages 1-1 Mechanisms of the Brain and Cultures....Pages 3-22 A Framework for Intelligent Analysis of Intelligence Data....Pages 23-41 Front Matter....Pages 43-43 Symbolic Knowledge Extraction from Trained Neural Networks Governed by Łukasiewicz Logics....Pages 45-58 Wireless Signal and Information Tracking Using Fuzzy Logic....Pages 59-72 Redefinition of Mutual Information in the Fuzzy Sets Framework for Computational Genomics....Pages 73-83 Exact Membership Functions for the Fuzzy Weighted Average....Pages 85-99 Front Matter....Pages 101-101 Knowledge-Based Constrained Function Optimization Using Cultural Algorithms with an Enhanced Social Influence Metaphor....Pages 103-119 Reconstructing Dynamic Target Functions by Means of Genetic Programming Using Variable Population Size....Pages 121-134 Interactive Evolution for Designing Motion Variants....Pages 135-149 Dual Phase Evolution as a Framework for Understanding Complex Adaptive Systems....Pages 151-164 Ant Colonies to Assign Terminals to Concentrators....Pages 165-178 A Statistical Study of the Effects of Neighborhood Topologies in Particle Swarm Optimization....Pages 179-192 Front Matter....Pages 193-193 Genetic Algorithms Applied to Spectral Index Extraction....Pages 195-207 Algorithms of Image Restoration in Self-organizing Maps Grounded on Learning with Neighboring Inputs....Pages 209-221 On the Projection of k-Valued Non-linearly Separable Problems into m-Valued Linearly Separable Problems....Pages 223-235 Dual Adaptive Neurocontrol of Mobile Robots Using the Unscented Transform: Monte Carlo and Experimental Validation....Pages 237-250 Multimodal System Based on Self-organizing Maps....Pages 251-263 Hydraulic Head Interpolation in an Aquifer Unit Using ANFIS and Ordinary Kriging....Pages 265-276 Predicting NN5 Time Series with Neurosolver....Pages 277-288 Back Matter....Pages - Authors in this collection recognize the li- tations of individual paradigms, and propose some practical and novel ways in which di?erent CI techniques can be combined with each other, or with more traditional computational techniques, to produce powerful probl- solving environments which exhibit synergy, i.
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