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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.
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Neural Networks for Identification, Prediction and Control
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NEURAL NETWORKS FOR IDENTIFICATION, PREDICTION AND CONTROL
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Condition: Très bon. NEURAL NETWORKS FOR IDENTIFICATION, PREDICTION AND CONTROL | Pham | Springer, 1995. In-8° cartonné, 238 pages. Couverture propre . Dos solide. Intérieur frais sans soulignage ou annotation. Exemplaire de bibliothèque : petit code barre en pied de 1re de couv., cotation au dos, rares et discrets petits tampons à l'intérieur de l'ouvrage. Très bon état général pour cet ouvrage. [Ba 56+]. Seller Inventory # YA-ZKAM-XSU5
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Neural Networks for Identification, Prediction and Control
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ISBN 10: 3540199594
ISBN 13: 9783540199595
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Neural Networks for Identification for Prediction and Control
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ISBN 10: 3540199594
ISBN 13: 9783540199595
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Neural Networks for Identification, Prediction and Control
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Neural Networks for Identification, Prediction and Control
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Neural Networks for Identification, Prediction and Control
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