Neural networks for control

"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...

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Bibliographic Details
Main Author: Miller, W. Thomas
Corporate Author: National Science Foundation (U.S.)
Other Authors: Sutton, Richard S., Werbos, Paul J.
Format: eBook
Language:English
Published: Cambridge, Mass. MIT Press 1990
Series:Neural network modeling and connectionism
Subjects:
Online Access:
Collection: MIT Press eBook Archive - Collection details see MPG.ReNa
Description
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."
Item Description:"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'"--Preface
Physical Description:xviii, 524 pages illustrations
ISBN:0262291290
9780262291293