Artificial Neural Nets and Genetic Algorithms. Proceedings of the International Conference in Prague, Czech Republic, 2001.

Kurkova, Vera/Steele, Nigel C./Neruda, Roman/Karny, Miroslav (Hrsg.)

ISBN 10: 3211836519 / ISBN 13: 9783211836514

Published by Vienna, Springer Wien., 2001

About this Item

2001. 21 x 28 cm. XIII, 506 S. XIII, 506 p. 127 illus. softcover Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.

Seller Inventory # 52ZB

Bibliographic Details

• Title: Artificial Neural Nets and Genetic Algorithms. Proceedings of the International Conference in Prague, Czech Republic, 2001.
• Publisher: Vienna, Springer Wien.
• Publication Date: 2001
• Language: English
• ISBN 10: 3211836519
• ISBN 13: 9783211836514
• Binding: Soft cover
• Seller catalogs:
  • Varia

About this title

Synopsis

The papers in this volume present theoretical insights and reports on successful applications of articifical neural networks and genetic algorithms. A dual affinity with biology is shown as several papers deal with cognition, neurocontrol, and biologically inspired brain models and others describe successful applications of computational methods to biology and environmental science. Theoretical contributions cover a variety of topics including nonlinear approximation by feedforward networks, representation of spiking perceptrons by classical ones, recursive networks and associative memories, learning and generalization, population attractors, and proposal and analysis of new genetic operators or measures. These theoretical studies are augmented by a wide selection of application-oriented papers on topics ranging from signal processing, control, pattern recognition and times series prediction to routing tasks. To keep track of the rapid development of the field of computational intelligence, the scope of the conference has been extended to hybrid methods and tools for which neural networks and evolutionary algorithms are combined with methods of soft computing, fuzzy logic, probabilistic computing, and symbolic artificial intelligence, to computer-intensive methods in control and data processing, and to data mining in meteorology and air pollution.