Neural Networks for Identification, Prediction, and Control
Neural Networks for Identification, Prediction, and Control

Author: D. T. Pham

Publisher:

Published: 1995

Total Pages: 1318

ISBN-13:

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This publication describes examples of applications of neural networks in modelling, prediction and control. Topics covered include identification of general linear and nonlinear processes, forecasting of river levels, stock market prices, currency exchange rates, and control of a time-delayed plant and a two-joint robot. The neural network types considered are the multilayer perceptron (MLP), the Elman and Jordan networks, the Group-Method-of-Data-Handling (GMDH), the cerebellar-model-articulation-controller (CMAC) networks and neuromorphic fuzzy logic systems. The algorithms presented are the standard backpropagation (BP) algorithm, the Widrow-Hoff learning, dynamic BP and evolutionary learning. Full listings of computer programs written in C for neural-network-based system identification and prediction to facilitate practical experimentation with neural network techniques are included.

Book Review Digest
Book Review Digest

Author:

Publisher:

Published: 1946

Total Pages: 962

ISBN-13:

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Excerpts from and citations to reviews of more than 8,000 books each year, drawn from coverage of 109 publications. Book Review Digest provides citations to and excerpts of reviews of current juvenile and adult fiction and nonfiction in the English language. Reviews of the following types of books are excluded: government publications, textbooks, and technical books in the sciences and law. Reviews of books on science for the general reader, however, are included. The reviews originate in a group of selected periodicals in the humanities, social sciences, and general science published in the United States, Canada, and Great Britain. - Publisher.