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Neural Networks for Identification, Prediction and Control (Paperback, Softcover reprint of the original 1st ed. 1995) Loot Price: R1,397
Discovery Miles 13 970
Neural Networks for Identification, Prediction and Control (Paperback, Softcover reprint of the original 1st ed. 1995): Duc T....

Neural Networks for Identification, Prediction and Control (Paperback, Softcover reprint of the original 1st ed. 1995)

Duc T. Pham, Xing Liu

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Loot Price R1,397 Discovery Miles 13 970 | Repayment Terms: R131 pm x 12*

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In recent years, there has been a growing interest in applying neural networks to dynamic systems identification (modelling), prediction and control. Neural networks are computing systems characterised by the ability to learn from examples rather than having to be programmed in a conventional sense. Their use enables the behaviour of complex systems to be modelled and predicted and accurate control to be achieved through training, without a priori information about the systems' structures or parameters. This book describes examples of applications of neural networks In modelling, prediction and control. The topics covered include identification of general linear and non-linear processes, forecasting of river levels, stock market prices and currency exchange rates, and control of a time-delayed plant and a two-joint robot. These applications employ the major types of neural networks and learning algorithms. The neural network types considered in detail are the muhilayer perceptron (MLP), the Elman and Jordan networks and the Group-Method-of-Data-Handling (GMDH) network. In addition, cerebellar-model-articulation-controller (CMAC) networks and neuromorphic fuzzy logic systems are also presented. The main learning algorithm adopted in the applications is the standard backpropagation (BP) algorithm. Widrow-Hoff learning, dynamic BP and evolutionary learning are also described.

General

Imprint: Springer London
Country of origin: United Kingdom
Release date: December 2012
First published: 1995
Authors: Duc T. Pham • Xing Liu
Dimensions: 235 x 155 x 13mm (L x W x T)
Format: Paperback
Pages: 238
Edition: Softcover reprint of the original 1st ed. 1995
ISBN-13: 978-1-4471-3246-2
Categories: Books > Computing & IT > Applications of computing > Pattern recognition
Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory
Books > Science & Mathematics > Physics > Thermodynamics & statistical physics > Statistical physics
Books > Computing & IT > Applications of computing > Artificial intelligence > General
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
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LSN: 1-4471-3246-7
Barcode: 9781447132462

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