This text investigates the ability of a neural network (NN) to learn how to control an unknown - generally nonlinear - system using data acquired on-line. The work presents real-time control applications, together with the theoretical analysis of algorithms developed to train neural networks. It provides: an analysis of local convergence and stability requirements of the two fast-learning algorithms developed by the author; a comprehensive survey of network topology and learning algorithms - particularly supervised learning ...
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This text investigates the ability of a neural network (NN) to learn how to control an unknown - generally nonlinear - system using data acquired on-line. The work presents real-time control applications, together with the theoretical analysis of algorithms developed to train neural networks. It provides: an analysis of local convergence and stability requirements of the two fast-learning algorithms developed by the author; a comprehensive survey of network topology and learning algorithms - particularly supervised learning; and a classification for NN control strategies. The book also analyzes and discusses various control strategies.
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Add this copy of Application of Neural Networks to Adaptive Control of to cart. $39.61, Sold by Books International rated 3.0 out of 5 stars, ships from Toronto, ON, CANADA, published 1997 by Research Studies Press.
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