Feed-Forward Neural Networks

Name: Feed-Forward Neural Networks
Brand: Springer-Verlag New York Inc.
SKU: 9781461359906
Price: 99.88 EUR
Availability: InStock

Vector Decomposition Analysis, Modelling and Analog Implementation

Autor: Jouke Annema

Jazyk:

Väzba: Brožovaná

Vydavateľ: Springer-Verlag New York Inc.

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Informácie o knihe

Autor

Jouke Annema

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2013

Stránok

238

EAN

9781461359906

ISBN

1461359902

Enbook ID

02253582

Vydavateľ

Springer-Verlag New York Inc.

Hmotnosť

397

Rozmery

155 x 235 x 15

Kompletný popis

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. §

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Feed-Forward Neural Networks

Vector Decomposition Analysis, Modelling and Analog Implementation

Informácie o knihe

Kompletný popis

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