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" Artificial Neural Nets and Genetic Algorithms : "
edited by David W. Pearson, Nigel C. Steele, Rudolf F. Albrecht.
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BL
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766370
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b586351
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| Main Entry
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edited by David W. Pearson, Nigel C. Steele, Rudolf F. Albrecht.
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| Title & Author
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Artificial Neural Nets and Genetic Algorithms : : Proceedings of the International Conference in Roanne, France, 2003\ edited by David W. Pearson, Nigel C. Steele, Rudolf F. Albrecht.
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| Publication Statement
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Vienna : Springer Vienna, 2003
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| Series Statement
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Springer computer science.
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(x, 266 pages 226 illustrations)
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| ISBN
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370910646X
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: 9783709106464
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| Contents
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From the Table of Contents: Neural Network Theory --; Neural Network Applications --; Genetic Algorithm and Evolutionary Computation Theory --; Genetic Algorithm and Evolutionary Computation Applications --; Fuzzy and Soft Computing Theory --; Fuzzy and Soft Computing Applications.
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| Abstract
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The papers in this volume present theoretical aspects and applications of artificial neural networks and genetic algorithms. Also included are papers on fuzzy logic, soft computing, and artificial intelligence. Fundamental issues are addressed, such as the nonlinear approximation capabilities of neural networks and formal methods of data representation with topological properties. New elements in genetic algorithms are presented, for example, crossover methods and gene representation. Papers on applications of neural networks show how successful these methods are in a wide range of fields like meteorological and atmospheric pollution forecasts, furnace control, and system identification. Genetic algorithms are used to solve optimization problems related to shipping and computer vision. Fuzzy-logic-based techniques are applied to sociodynamic models and hybrid neuro-fuzzy models.
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Artificial intelligence.
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Computer science.
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Physics.
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D W Pearson
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N C Steele
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Rudolf F Albrecht
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