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Principles of artificial neural networks

Author: Daniel Graupe
Publisher: Singapore ; River Edge, NJ : World Scientific, ©1997.
Series: Advanced series on circuits and systems, vol. 3.
Edition/Format:   Print book : EnglishView all editions and formats
Database:WorldCat
Summary:

Using case-studies on each network considered, this text covers the range of all the major artificial neural networks approaches. It includes complete program printouts and results, and deals with  Read more...

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Document Type: Book
All Authors / Contributors: Daniel Graupe
ISBN: 9810225164 9789810225162 9789810241254 9810241259
OCLC Number: 37916948
Description: xi, 238 pages : illustrations ; 26 cm.
Contents: Introduction and role of artificial neural networks; fundamentals of biological neural networks; basic principles of artificial neural networks (ANNs); the madaline; the perceptron; back propagation; Hopfield networks; counter propagation; adaptive resonance theory (ART); the cognitron and the neo cognitro; statistical training; recurrent (time-cycling) back propagation networks; large storage and memory retrieval using neural networks.
Series Title: Advanced series on circuits and systems, vol. 3.
Other Titles: Artificial neural networks
Responsibility: Daniel Graupe.

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