Harmony Search Algorithm Supervised by Kattan Ali (6 results)

Author: 
Title: 
Refine with Advanced Search

Refine your search

  • Books (6)

  • New (6)

to

Custom price range (US$)

to

  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2019

    6139472555 / 9786139472550

    • Softcover

    Seller: preigu, Osnabrück, Germanypreigu

    5-star seller
    Contact seller

    Condition: New

    US$ 80.58

    US$ 78.74 shipping 
    Ships from Germany to U.S.A.

    Quantity: 5 available

    Taschenbuch. Condition: 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.…

  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2019

    6139472555 / 9786139472550

    • Softcover

    Seller: Revaluation Books, Exeter, United KingdomRevaluation Books

    5-star seller
    Contact seller

    Condition: New

    US$ 165.13

    US$ 13.20 shipping 
    Ships from United Kingdom to U.S.A.

    Quantity: 1 available

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

  • Language: English

    Published by LAP LAMBERT Academic Publishing Apr 2019, 2019

    6139472555 / 9786139472550

    • Softcover
    • Print on Demand

    Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

    5-star seller
    Contact seller

    Condition: New

    US$ 96.05

    US$ 25.87 shipping 
    Ships from Germany to U.S.A.

    Quantity: 2 available

    Taschenbuch. Condition: 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.…

  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2019

    6139472555 / 9786139472550

    • Softcover
    • Print on Demand

    Seller: moluna, Greven, Germanymoluna

    5-star seller
    Contact seller

    Condition: New

    US$ 76.84

    US$ 55.10 shipping 
    Ships from Germany to U.S.A.

    Quantity: Over 20 available

    Condition: 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. …

  • Language: English

    Published by LAP LAMBERT Academic Publishing, 2019

    6139472555 / 9786139472550

    • Softcover
    • Print on Demand

    Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

    5-star seller
    Contact seller

    Condition: New

    US$ 97.19

    US$ 39.37 shipping 
    Ships from Germany to U.S.A.

    Quantity: 1 available

    Taschenbuch. Condition: 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.…

  • Language: English

    Published by LAP LAMBERT Academic Publishing Apr 2019, 2019

    6139472555 / 9786139472550

    • Softcover
    • Print on Demand

    Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000

    5-star seller
    Contact seller

    Condition: New

    US$ 96.05

    US$ 67.49 shipping 
    Ships from Germany to U.S.A.

    Quantity: 1 available

    Taschenbuch. Condition: 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.…