Principles of artificial neural networks /

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The book should serve as a text for a university graduate course or for an advanced undergraduate course on neural networks in engineering and computer science departments. It should also serve as a self-study course for engineers and computer scientists in the industry. Covering major neural networ...

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Bibliographic Details
Call Number:Libro Electrónico
Main Author: Graupe, Daniel
Format: Electronic eBook
Language:Inglés
Published: Singapore ; Hackensack, N.J. : World Scientific, ©2007.
Edition:2nd ed.
Series:Advanced series on circuits and systems ; v. 6.
Subjects:
Neural networks (Computer science)
Réseaux neuronaux (Informatique)
Online Access:Texto completo
Table of Contents:
  • Introduction and role of artificial neural networks
  • Fundamentals of biological neural networks
  • Basic principles of ANNs and their early structures
  • The Perceptron
  • The Madaline
  • Back propagation
  • Hopfield networks
  • Counter propagation
  • Adaptive resonance theory
  • The Cognitron and the Neocognitron
  • Statistical training
  • Recurrent (Time cycling) back propagation networks
  • Large scale memory storage and retrieval (LAMSTAR) network.

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