Feed-Forward Neural Networks (Softcover)

Name: Feed-Forward Neural Networks
Author: Jouke Annema

Vector Decomposition Analysis, Modelling and Analog Implementation

von Jouke Annema Verlag: Springer US

Softcover reprint of the original 1st ed. 1995 - Erschienen 13.07.2013 - Kartoniert, 256 Seiten, 235mm x 155mm x 15mm, Sprache(n): eng

Print on Demand. Lieferbar innerhalb von 7 bis 10 Tagen

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.

Produktart:

📚 Bücher

Anbieter:

MARZIES Buch- und Medienhandel

Bestell-Nr.:

A21908180

Kategorie(n):

ISBN:

1461359902

EAN: