Artificial Neural Network Modelling

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160,49 

Studies in Computational Intelligence 628

ISBN: 3319284932
ISBN 13: 9783319284934
Herausgeber: Subana Shanmuganathan/Sandhya Samarasinghe
Verlag: Springer Verlag GmbH
Umfang: vii, 472 S., 63 s/w Illustr., 124 farbige Illustr., 472 p. 187 illus., 124 illus. in color.
Erscheinungsdatum: 12.02.2016
Auflage: 1/2016
Produktform: Gebunden/Hardback
Einband: Gebunden

This book covers theoretical aspects as well as recent innovative applications of Artificial Neural networks (ANNs) in natural, environmental, biological, social, industrial and automated systems. It presents recent results of ANNs in modelling small, large and complex systems under three categories, namely, 1) Networks, Structure Optimisation, Robustness and Stochasticity 2) Advances in Modelling Biological and Environmental Systems and 3) Advances in Modelling Social and Economic Systems. The book aims at serving undergraduates, postgraduates and researchers in ANN computational modelling.

Artikelnummer: 8850396 Kategorie:

Beschreibung

This book covers theoretical aspects as well as recent innovative applications of Artificial Neural networks (ANNs) in natural, environmental, biological, social, industrial and automated systems. It presents recent results of ANNs in modelling small, large and complex systems under three categories, namely, 1) Networks, Structure Optimisation, Robustness and Stochasticity 2) Advances in Modelling Biological and Environmental Systems and 3) Advances in Modelling Social and Economic Systems. The book aims at serving undergraduates, postgraduates and researchers in ANN computational modelling.

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Springer Verlag GmbH
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E-Mail: juergen.hartmann@springer.com

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