This book is a beginning graduate-level introduction to neural networks which is divided into four parts.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
"...a beginning graduate-level text that discusses a wide range of neural network models and algorithms: simulated annealing, Aleksander's model, Boltzmann machine, perceptron, backpropagation, Hopfield's models, self-organization, and others. It may be especially useful for those with no or limited knowledge of the biology of neural networks and their relation to artificial neural networks." George Georgiou, Mathematical Reviews
"...excellent introductions to this exciting new enterprise...this comprehensive summary of research results in neural networks with both practical and biological applications provides an invaluable resource for the graduate student or researcher working in this field...summarizes some of the important questions that remain in our understanding of biological neural networks that may be addressed with greater integration of neural network modeling and biological experimentation." Roderick V. Jensen, American Journal of Physics
This text is a beginning graduate-level introduction to neural networks, focussing on current theoretical models, examining what these models can reveal about how the brain functions, and discussing the ramifications for psychology, artificial intelligence and the construction of a new generation of intelligent computers.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Da: BooksRun, Philadelphia, PA, U.S.A.
Paperback. Condizione: Fair. 1. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way. Codice articolo 0521424879-7-1
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Da: ThriftBooks-Atlanta, AUSTELL, GA, U.S.A.
Paperback. Condizione: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less. Codice articolo G0521424879I3N00
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Da: Goodwill of Silicon Valley, SAN JOSE, CA, U.S.A.
Condizione: good. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Good condition! Any other included accessories are also in Good condition showing use. Use can include some highlighting and writing, page and cover creases as well as other types visible wear. Codice articolo GWSVV.0521424879.G
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Da: Sutton Books, Norwich, VT, U.S.A.
Soft cover. Condizione: Fine. Pbk 473pp slight shelfwear to covers CUP rem mark on title page otherwise an unread copy excellent clean tight unmarked as new. Codice articolo HPS531-B
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Da: Phatpocket Limited, Waltham Abbey, HERTS, Regno Unito
Condizione: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions. Codice articolo Z1-T-033-01754
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Da: California Books, Miami, FL, U.S.A.
Condizione: New. Codice articolo I-9780521424875
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Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: New. Codice articolo 434244-n
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Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition. Codice articolo 434244
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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Condizione: New. This book is a beginning graduate-level introduction to neural networks which is divided into four parts. Series Editor(s): Godrche, C. Series: Collection Alea-Saclay: Monographs and Texts in Statistical Physics. Num Pages: 492 pages, diagrams. BIC Classification: MJN; PHS. Category: (P) Professional & Vocational. Dimension: 228 x 152 x 28. Weight in Grams: 720. . 2008. paperback. . . . . Codice articolo V9780521424875
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Da: Buchmarie, Darmstadt, Germania
Condizione: Good. Codice articolo 366735_dfbx
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