Librería: Phatpocket Limited, Waltham Abbey, HERTS, Reino Unido
EUR 37,75
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Añadir al carritoCondición: 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.
Librería: Zubal-Books, Since 1961, Cleveland, OH, Estados Unidos de America
EUR 46,64
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Añadir al carritoCondición: Fine. 238 pp., Hardcover, BRAND NEW and in shrink wrap, although there is a remainder mark to bottom edge. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 102,53
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Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 103,13
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Añadir al carritoCondición: New.
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 103,13
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
EUR 121,73
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 111,72
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Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 111,72
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Publicado por Springer US, Springer US, 2013
ISBN 10: 1461359902 ISBN 13: 9781461359906
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 112,77
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Feed-Forward Neural Networks: Vector Decomposition Analysis, Modelling and Analog Implementation presents a novel method for the mathematical analysis of neural networks that learn according to the back-propagation algorithm. The book also discusses some other recent alternative algorithms for hardware implemented perception-like neural networks. The method permits a simple analysis of the learning behaviour of neural networks, allowing specifications for their building blocks to be readily obtained. Starting with the derivation of a specification and ending with its hardware implementation, analog hard-wired, feed-forward neural networks with on-chip back-propagation learning are designed in their entirety. On-chip learning is necessary in circumstances where fixed weight configurations cannot be used. It is also useful for the elimination of most mis-matches and parameter tolerances that occur in hard-wired neural network chips. Fully analog neural networks have several advantages over other implementations: low chip area, low power consumption, and high speed operation. Feed-Forward Neural Networks is an excellent source of reference and may be used as a text for advanced courses.
Publicado por Springer US, Springer US, 1995
ISBN 10: 0792395670 ISBN 13: 9780792395676
Idioma: Inglés
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 114,36
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Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Feed-Forward Neural Networks: Vector Decomposition Analysis, Modelling and Analog Implementation presents a novel method for the mathematical analysis of neural networks that learn according to the back-propagation algorithm. The book also discusses some other recent alternative algorithms for hardware implemented perception-like neural networks. The method permits a simple analysis of the learning behaviour of neural networks, allowing specifications for their building blocks to be readily obtained. Starting with the derivation of a specification and ending with its hardware implementation, analog hard-wired, feed-forward neural networks with on-chip back-propagation learning are designed in their entirety. On-chip learning is necessary in circumstances where fixed weight configurations cannot be used. It is also useful for the elimination of most mis-matches and parameter tolerances that occur in hard-wired neural network chips. Fully analog neural networks have several advantages over other implementations: low chip area, low power consumption, and high speed operation. Feed-Forward Neural Networks is an excellent source of reference and may be used as a text for advanced courses.
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 167,35
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Añadir al carritoHardcover. Condición: Like New. Like New. book.
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 136,10
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Añadir al carritoHardback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 567.