The Harmony Search Algorithm for Supervised Training of Neural Network: Design & Implementation - Couverture souple

Kattan, Ali

9786139472550: The Harmony Search Algorithm for Supervised Training of Neural Network: Design & Implementation

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ISBN 10 : 6139472555 ISBN 13 : 9786139472550

Editeur : LAP LAMBERT Academic Publishing, 2019

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Within the field of Artificial Intelligence, there are basically two paradigms for the supervised training of Feed-forward Artificial Neural Network (FFANN): the trajectory-driven paradigm, such as Backpropagation, and the evolutionary Stochastic Global Optimization paradigm (SGO), such as Genetic Algorithm. One of the relatively young SGO methods is the Harmony Search (HS) algorithm, which draws its inspiration not from biological or physical processes but from the improvisation process of Jazz musicians. HS was reported to be competitive alternative to other SGO methods. It has been used successfully in many applications mostly in engineering and industry. In this work the HS algorithm is adapted for the supervised training of FFANN and the performance is evaluated using different benchmarking problems. Two enhancements are introduced to achieve better convergence condition and better performance. A parallel implementation is also included along with performance analysis.

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�diteur: LAP LAMBERT Academic Publishing
Date d'�dition: 2019
Langue: anglais
ISBN 10: 6139472555
ISBN 13: 9786139472550
Reliure: Broch�
Nombre de pages: 260
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The Harmony Search Algorithm for Supervised Training of Neural Network

Ali Kattan

Edit� par LAP LAMBERT Academic Publishing, 2019

ISBN 10 : 6139472555 ISBN 13 : 9786139472550

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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kattan AliAli Kattan, a member of IEEE since 2009, is a PhD holder and an Assistant Professor of Computer Sciences. His research interests include machine learning, optimization, robotics, IoT and web programming. He is currently a s. N� de r�f. du vendeur 385860534

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The Harmony Search Algorithm for Supervised Training of Neural Network

Ali Kattan

Edit� par LAP LAMBERT Academic Publishing Apr 2019, 2019

ISBN 10 : 6139472555 ISBN 13 : 9786139472550

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Within the field of Artificial Intelligence, there are basically two paradigms for the supervised training of Feed-forward Artificial Neural Network (FFANN): the trajectory-driven paradigm, such as Backpropagation, and the evolutionary Stochastic Global Optimization paradigm (SGO), such as Genetic Algorithm. One of the relatively young SGO methods is the Harmony Search (HS) algorithm, which draws its inspiration not from biological or physical processes but from the improvisation process of Jazz musicians. HS was reported to be competitive alternative to other SGO methods. It has been used successfully in many applications mostly in engineering and industry. In this work the HS algorithm is adapted for the supervised training of FFANN and the performance is evaluated using different benchmarking problems. Two enhancements are introduced to achieve better convergence condition and better performance. A parallel implementation is also included along with performance analysis. 260 pp. Englisch. N� de r�f. du vendeur 9786139472550

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The Harmony Search Algorithm for Supervised Training of Neural Network : Design & Implementation

Ali Kattan

Edit� par LAP LAMBERT Academic Publishing, 2019

ISBN 10 : 6139472555 ISBN 13 : 9786139472550

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Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Within the field of Artificial Intelligence, there are basically two paradigms for the supervised training of Feed-forward Artificial Neural Network (FFANN): the trajectory-driven paradigm, such as Backpropagation, and the evolutionary Stochastic Global Optimization paradigm (SGO), such as Genetic Algorithm. One of the relatively young SGO methods is the Harmony Search (HS) algorithm, which draws its inspiration not from biological or physical processes but from the improvisation process of Jazz musicians. HS was reported to be competitive alternative to other SGO methods. It has been used successfully in many applications mostly in engineering and industry. In this work the HS algorithm is adapted for the supervised training of FFANN and the performance is evaluated using different benchmarking problems. Two enhancements are introduced to achieve better convergence condition and better performance. A parallel implementation is also included along with performance analysis. N� de r�f. du vendeur 9786139472550

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The Harmony Search Algorithm for Supervised Training of Neural Network

Ali Kattan

Edit� par LAP LAMBERT Academic Publishing Apr 2019, 2019

ISBN 10 : 6139472555 ISBN 13 : 9786139472550

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Taschenbuch. Etat : Neu. Neuware -Within the field of Artificial Intelligence, there are basically two paradigms for the supervised training of Feed-forward Artificial Neural Network (FFANN): the trajectory-driven paradigm, such as Backpropagation, and the evolutionary Stochastic Global Optimization paradigm (SGO), such as Genetic Algorithm. One of the relatively young SGO methods is the Harmony Search (HS) algorithm, which draws its inspiration not from biological or physical processes but from the improvisation process of Jazz musicians. HS was reported to be competitive alternative to other SGO methods. It has been used successfully in many applications mostly in engineering and industry. In this work the HS algorithm is adapted for the supervised training of FFANN and the performance is evaluated using different benchmarking problems. Two enhancements are introduced to achieve better convergence condition and better performance. A parallel implementation is also included along with performance analysis.Books on Demand GmbH, �berseering 33, 22297 Hamburg 260 pp. Englisch. N� de r�f. du vendeur 9786139472550

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