NEURAL NETWORKS FOR IDENTIFICATION, PREDICTION AND CONTROL - Couverture souple

Pham, Duc-Truong

Couverture souple

ISBN 10 : 3540199594 ISBN 13 : 9783540199595

Editeur : Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 1995

Synopsis

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 programmes written in C for neural-network-based system identification and prediction to facilitate practical experimentation with neural network techniques are included.

Détails de l'édition

• Éditeur: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
• Date d'édition: 1995
• ISBN 10: 3540199594
• ISBN 13: 9783540199595
• Reliure: Broché
• Langue: anglais
• Nombre de pages: 252
• Coordonnées du fabricant: non disponible