Neural networks for control / 
edited by W. Thomas Miller, III, Richard S. Sutton, and Paul J. Werbos. 
 - 1 PDF (xviii, 524 pages) :  illustrations. 
 - Neural network modeling and connectionism .
 - Neural network modeling and connectionism .
<br/><br/> "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. 
<br/><br/>Includes bibliographical references and index. 
<br/><br/> Restricted to subscribers or individual electronic text purchasers. 
<br/><br/> 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. 
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<br/><br/><br/>Mode of access: World Wide Web 
<br/><br/><label>ISBN: </label>9780262291293 
<br/><br/><label>LCCN: </label>
<br/><br/><label>Subjects--Topical Terms: </label><br/>Automatic control--Congresses.<br/>Neural computers--Congresses.
<br/><br/><label>Index Terms--Genre/Form: </label><br/>Electronic books.
<br/><br/><label>LC Class. No.: </label>TJ223.M53  / N48 1990eb 
<br/><br/><label>Dewey Class. No.: </label>629.8/9