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Artificial Neural Network Training and Software Implementation Techniques
Language: English
Published by Nova Science Publishers Inc, US, 2011
ISBN 10: 1611229901 ISBN 13: 9781611229905
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: New.
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Artificial Neural Network Training and Software Implementation Techniques
Language: English
Published by Nova Science Publishers Inc, 2011
ISBN 10: 1611229901 ISBN 13: 9781611229905
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Condition: As New. Unread book in perfect condition.
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Artificial Neural Network Training and Software Implementation Techniques
Language: English
Published by Nova Science Publishers Inc, 2011
ISBN 10: 1611229901 ISBN 13: 9781611229905
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Artificial Neural Network Training and Software Implementation Techniques
Language: English
Published by Nova Science Publishers, Incorporated, 2011
ISBN 10: 1611229901 ISBN 13: 9781611229905
Condition: New. pp. 53 Index.
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Artificial Neural Network Training and Software Implementation Techniques
Language: English
Published by Nova Science Publishers, Incorporated, 2011
ISBN 10: 1611229901 ISBN 13: 9781611229905
Condition: New. pp. 53.
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Artificial Neural Network Training & Software Implementation Techniques
Language: English
Published by Nova Science Publishers Inc, 2011
ISBN 10: 1611229901 ISBN 13: 9781611229905
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New. Num Pages: 58 pages, b/w illus. BIC Classification: UT. Category: (G) General (US: Trade). Dimension: 205 x 127 x 5. Weight in Grams: 100. . 2011. Paperback. . . . .
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Artificial Neural Network Training and Software Implementation Techniques
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Artificial Neural Network Training & Software Implementation Techniques
Language: English
Published by Nova Science Publishers Inc, 2011
ISBN 10: 1611229901 ISBN 13: 9781611229905
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
Seller rating 5 out of 5 stars
Paperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
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Artificial Neural Network Training & Software Implementation Techniques
Language: English
Published by Nova Science Publishers Inc, 2011
ISBN 10: 1611229901 ISBN 13: 9781611229905
Condition: New. Num Pages: 58 pages, b/w illus. BIC Classification: UT. Category: (G) General (US: Trade). Dimension: 205 x 127 x 5. Weight in Grams: 100. . 2011. Paperback. . . . . Books ship from the US and Ireland.
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Kattan, A: Artificial Neural Network Training & Software Imp
Language: English
Published by Nova Science Publishers Inc, 2011
ISBN 10: 1611229901 ISBN 13: 9781611229905
Kartoniert / Broschiert. Condition: New. Artificial Neural Network Training & Software Implementation TechniquesInhaltsverzeichnisIntroduction Feed-Forward Neural Networks FFANN Software Simulation FFANN Training Concept Trajectory-Driven Training Paradigm Evolutionary.
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Artificial Neural Network Training & Software Implementation Techniques
Language: English
Published by Nova Science Publishers, Inc (US), 2011
ISBN 10: 1611229901 ISBN 13: 9781611229905
Seller: Gazelle Books, Lancaster, LANCA, United Kingdom
Seller rating 4 out of 5 stars
Paperback. Condition: New. New Book, Direct from Publisher.
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Artificial Neural Network Training and Software Implementation Techniques
Language: English
Published by Nova Science Publishers Inc, US, 2011
ISBN 10: 1611229901 ISBN 13: 9781611229905
Paperback. Condition: New.
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Artificial Neural Network Training & Software Implementation Techniques
Language: English
Published by Nova Science Publishers Inc Jun 2011, 2011
ISBN 10: 1611229901 ISBN 13: 9781611229905
Taschenbuch. Condition: Neu. Neuware - Artificial neural networks (ANN) are widely used in diverse fields of science and industry. Though there have been numerous techniques used for their implementations, the choice of a specific implementation is subjected to different factors including cost, accuracy, processing speed and overall performance. Featured with synaptic plasticity, the process of training is concerned with adjusting the individual weights between each of the individual ANN neurons until we can achieve close to the desired output. This book introduces the common trajectory-driven and evolutionary-based ANN training algorithms.
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The Harmony Search Algorithm for Supervised Training of Neural Network | Design & Implementation
Language: English
Published by LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6139472555 ISBN 13: 9786139472550
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.
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Artificial Neural Network Training and Software Implementation Techniques
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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The Harmony Search Algorithm for Supervised Training of Neural Network: Design & Implementation
Language: English
Published by LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6139472555 ISBN 13: 9786139472550
Paperback. Condition: Brand New. 260 pages. 8.66x5.91x0.59 inches. In Stock.
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The Harmony Search Algorithm for Supervised Training of Neural Network
Language: English
Published by LAP LAMBERT Academic Publishing Apr 2019, 2019
ISBN 10: 6139472555 ISBN 13: 9786139472550
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
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.
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The Harmony Search Algorithm for Supervised Training of Neural Network
Language: English
Published by LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6139472555 ISBN 13: 9786139472550
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.
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The Harmony Search Algorithm for Supervised Training of Neural Network
Language: English
Published by LAP LAMBERT Academic Publishing Apr 2019, 2019
ISBN 10: 6139472555 ISBN 13: 9786139472550
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
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.
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The Harmony Search Algorithm for Supervised Training of Neural Network : Design & Implementation
Language: English
Published by LAP LAMBERT Academic Publishing, 2019
ISBN 10: 6139472555 ISBN 13: 9786139472550
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.
