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Biologically Inspired Neural Networks by Belatreche Ammar (9 results)
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Biologically Inspired Neural Networks: Models, Learning, and Applications
Published by VDM Verlag Dr. Müller, 2010
ISBN 10: 363922826X ISBN 13: 9783639228267
Language: English
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
£ 61.52
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Biologically Inspired Neural Networks: Models, Learning, and Applications
Published by VDM Verlag Dr. M�ller 2010-08-09, 2010
ISBN 10: 363922826X ISBN 13: 9783639228267
Language: English
Paperback. Condition: New.
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Biologically Inspired Neural Networks: Models, Learning, and Applications
Published by VDM Verlag Dr. Müller, 2010
ISBN 10: 363922826X ISBN 13: 9783639228267
Language: English
£ 70.07
Convert currency£ 7.39 shipping from U.S.A. to United KingdomQuantity: Over 20 available
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Biologically Inspired Neural Networks: Models, Learning, and Applications
Published by VDM Verlag Dr. Müller, 2010
ISBN 10: 363922826X ISBN 13: 9783639228267
Language: English
£ 61.77
Convert currency£ 55.46 shipping from U.S.A. to United KingdomQuantity: Over 20 available
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Biologically Inspired Neural Networks: Models, Learning, and Applications
Published by VDM Verlag Dr. Müller, 2010
ISBN 10: 363922826X ISBN 13: 9783639228267
Language: English
Paperback. Condition: Like New. Like New. book.
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Biologically Inspired Neural Networks Models, Learning, and Applications
Published by VDM Verlag Dr. Müller, 2010
ISBN 10: 363922826X ISBN 13: 9783639228267
Language: English
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
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Biologically Inspired Neural Networks Models, Learning, and Applications
Published by VDM Verlag Dr. Müller, 2010
ISBN 10: 363922826X ISBN 13: 9783639228267
Language: English
£ 69.16
Convert currencyFree shipping from U.S.A. to United KingdomQuantity: Over 20 available
Add to basketPAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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Biologically Inspired Neural Networks
Published by VDM Verlag Dr. Müller, 2009
ISBN 10: 363922826X ISBN 13: 9783639228267
Language: English
£ 54.45
Convert currency£ 21.83 shipping from Germany to United KingdomQuantity: Over 20 available
Add to basketKartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Belatreche Ammarholds an `Ingenieur d Etat in Computer Science from Institut National d Informatique, Algeria, 1998, and a PhD in Computer Science from University of Ulster, UK, 2007. He worked as a Research Associate on bio-insp.
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Biologically Inspired Neural Networks : Models, Learning, and Applications
Published by VDM Verlag Dr. Müller, 2010
ISBN 10: 363922826X ISBN 13: 9783639228267
Language: English
£ 71.94
Convert currency£ 12.22 shipping from Germany to United KingdomQuantity: 2 available
Add to basketTaschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The remarkable computational power of the brain has motivated researchers to investigate computational systems which draw inspiration from the nervous system whose exact workings are still very much a mystery. Several neural models and encoding schemes were proposed and a number of learning rules were formulated. However, their applicability has been hampered by the lack of efficient training mechanisms. This work treats the idea of using bio-inspired neuron and synapse models in developing computational systems that can be applied to solve real world problems. A review of traditional ANNs and the more biologically plausible ANNs, i.e. spiking neural networks or SNNs, is presented. Different aspects and variants of evolutionary algorithms are addressed. Alternative training approaches/architectures based on evolutionary strategies, dynamic synapses and neural oscillators are developed and their performance and scalability are evaluated. This work should help shed some light on the growing field of SNNs and their design and application challenges. This book should interest readers, students and researchers, in neural networks, intelligent systems, computer science and engineering.
