Neural Networks for Identification, Prediction, and Control - Brossura

Pham, D. T.; Liu, Xing

Brossura

ISBN 10: 3540199594 ISBN 13: 9783540199595

Casa editrice: Springer Verlag, 1995

Riassunto

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.

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Product Description

Book by Pham Duc T Liu Xing

Dettagli dell?edizione

• Editore: Springer Verlag
• Data di pubblicazione: 1995
• Lingua: Inglese
• ISBN 10: 3540199594
• ISBN 13: 9783540199595
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 238
• Contatto del produttore: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com