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.
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 neu...
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Full Text (via Springer) |
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| Main Author: | |
| Other Authors: | , |
| Format: | eBook |
| Language: | English |
| Published: |
Vienna :
Springer Vienna,
2003.
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| Series: | Springer computer science.
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| Subjects: |
| Summary: | 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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| Physical Description: | 1 online resource (x, 266 pages 226 illustrations) |
| Bibliography: | Includes bibliographical references. |
| ISBN: | 9783709106464 370910646X |