Feed-Forward Neural Networks

Name: Feed-Forward Neural Networks
Brand: Springer
SKU: 9780792395676
Price: 105.82 EUR
Availability: InStock

Vector Decomposition Analysis, Modelling and Analog Implementation

Autor: Jouke Annema

Jazyk:

Väzba: Pevná

Vydavateľ: Springer

Dostupnosť: Skladom u dodávateľa v malom množstve

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105.82 €

Feed-Forward Neural Networks: Vector Decomposition Analysis, Modelling and Analog Implementation pre...

Informácie o knihe

Autor

Jouke Annema

Jazyk

Angličtina

Väzba

Kniha - Pevná

Vydalo

1995

Stránok

238

EAN

9780792395676

ISBN

0792395670

Enbook ID

01398318

Vydavateľ

Springer

Hmotnosť

1190

Rozmery

155 x 235 x 18

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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