Neural networks for control / edited by W. Thomas Miller, III, Richard S. Sutton, and Paul J. Werbos.
Contributor(s): Miller, W. Thomas
| Sutton, Richard S | Werbos, Paul J. (Paul John) | IEEE Xplore (Online Service) [distributor.] | MIT Press [publisher.] | National Science Foundation (U.S.).
Material type: 
BookSeries: Neural network modeling and connectionism: Publisher: Cambridge, Massachusetts : MIT Press, c1990Distributor: [Piscataqay, New Jersey] : IEEE Xplore, [1995]Description: 1 PDF (xviii, 524 pages) : illustrations.Content type: text Media type: electronic Carrier type: online resourceISBN: 9780262291293.Subject(s): Automatic control -- Congresses | Neural computers -- CongressesGenre/Form: Electronic books.Additional physical formats: Print version:: No titleDDC classification: 629.8/9 Online resources: Abstract with links to resource Also available in print.Summary: Neural Networks for Control brings together examples of all the most important paradigms for the application of neural networks to robotics and control. Primarily concerned with engineering problems and approaches to their solution through neurocomputing systems, the book is divided into three sections: general principles, motion control, and applications domains (with evaluations of the possible applications by experts in the applications areas.) Special emphasis is placed on designs based on optimization or reinforcement, which will become increasingly important as researchers address more complex engineering challenges or real biological-control problems.A Bradford Book. Neural Network Modeling and Connectionism series.
"A Bradford book."
"Based on a workshop held at the University of New Hampshire in October, 1988, sponsored by the National Science Foundation, and entitled 'The application of neural networks to robotics and control'"--Pref.
Includes bibliographical references and index.
Restricted to subscribers or individual electronic text purchasers.
Neural Networks for Control brings together examples of all the most important paradigms for the application of neural networks to robotics and control. Primarily concerned with engineering problems and approaches to their solution through neurocomputing systems, the book is divided into three sections: general principles, motion control, and applications domains (with evaluations of the possible applications by experts in the applications areas.) Special emphasis is placed on designs based on optimization or reinforcement, which will become increasingly important as researchers address more complex engineering challenges or real biological-control problems.A Bradford Book. Neural Network Modeling and Connectionism series.
Also available in print.
Mode of access: World Wide Web
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