Lingua: Inglese
Editore: Springer- Verlag, New York City, 2005
ISBN 10: 3540287558 ISBN 13: 9783540287551
Da: Doss-Haus Books, Redondo Beach, CA, U.S.A.
Hardcover. Condizione: Very Good. No Jacket. Hardcover 2005 Part 2, library bound edition. Ex-library book with stamps and labels attached. Binding firm. Pages unmarked and clean. Laminated covers and text in very good condition. Series: Lecture Notes in Computer Science ;3697.
Condizione: As New. Unread book in perfect condition.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 132,04
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 148,88
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Condizione: New.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 148,87
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Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Springer Berlin Heidelberg, 2005
ISBN 10: 3540287558 ISBN 13: 9783540287551
Da: moluna, Greven, Germania
EUR 122,34
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Da: Revaluation Books, Exeter, Regno Unito
EUR 167,51
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 1st edition. 1045 pages. 9.25x6.25x1.50 inches. In Stock.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 152,99
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - The two volume set LNCS 3696 and LNCS 3697 constitutes the refereed proceedings of the 15th International Conference on Artificial Neural Networks, ICANN 2005, held in Warsaw, Poland in September 2005. The over 600 papers submitted to ICANN 2005 were thoroughly reviewed and carefully selected for presentation. The first volume includes 106 contributions related to Biological Inspirations; topics addressed are modeling the brain and cognitive functions, development of cognitive powers in embodied systems spiking neural networks, associative memory models, models of biological functions, projects in the area of neuroIT, evolutionary and other biological inspirations, self-organizing maps and their applications, computer vision, face recognition and detection, sound and speech recognition, bioinformatics, biomedical applications, and information- theoretic concepts in biomedical data analysis. The second volume contains 162 contributions related to Formal Models and their Applications and deals with new neural network models, supervised learning algorithms, ensemble-based learning, unsupervised learning, recurent neural networks, reinforcement learning, bayesian approaches to learning, learning theory, artificial neural networks for system modeling, decision making, optimalization and control, knowledge extraction from neural networks, temporal data analysis, prediction and forecasting, support vector machines and kernel-based methods, soft computing methods for data representation, analysis and processing, data fusion for industrial, medical and environmental applications, non-linear predictive models for speech processing, intelligent multimedia and semantics, applications to natural language processing, various applications, computational intelligence in games, and issu es in hardware implementation.