Harmony search algorithm supervised par kattan ali (6 résultats)

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  • Langue : anglais

    Edité par LAP LAMBERT Academic Publishing, 2019

    6139472555 / 9786139472550

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    Vendeur : preigu, Osnabrück, Allemagnepreigu

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    Taschenbuch. Etat : Neu. The Harmony Search Algorithm for Supervised Training of Neural Network | Design & Implementation | Ali Kattan | Taschenbuch | 260 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786139472550 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.…

  • Langue : anglais

    Edité par LAP LAMBERT Academic Publishing, 2019

    6139472555 / 9786139472550

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    Vendeur : Revaluation Books, Exeter, Royaume-UniRevaluation Books

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    EUR 147,23

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    Paperback. Etat : Brand New. 260 pages. 8.66x5.91x0.59 inches. In Stock.

  • Langue : anglais

    Edité par LAP LAMBERT Academic Publishing Apr 2019, 2019

    6139472555 / 9786139472550

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    Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AllemagneBuchWeltWeit Ludwig Meier e.K.

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    EUR 82,90

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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.…

  • Langue : anglais

    Edité par LAP LAMBERT Academic Publishing, 2019

    6139472555 / 9786139472550

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    Vendeur : moluna, Greven, Allemagnemoluna

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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. …

  • Langue : anglais

    Edité par LAP LAMBERT Academic Publishing, 2019

    6139472555 / 9786139472550

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    Vendeur : AHA-BUCH GmbH, Einbeck, AllemagneAHA-BUCH GmbH

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    EUR 83,89

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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.…

  • Langue : anglais

    Edité par LAP LAMBERT Academic Publishing Apr 2019, 2019

    6139472555 / 9786139472550

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    Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagnebuchversandmimpf2000

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    EUR 82,90

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    Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 260 pp. Englisch.…