Neural networks for control
Author(s)
Bibliographic Information
Neural networks for control
（Neural network modeling and connectionism）
MIT Press, 1995, c1990
- : pbk
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Note
Includes bibliographical references and index
"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"
"A Bradford book"
Description and Table of Contents
Description
Neural Networks for Control highlights key issues in learning control and identifies research directions that could lead to practical solutions for control problems in critical application domains. It addresses general issues of neural network based control and neural network learning with regard to specific problems of motion planning and control in robotics, and takes up application domains well suited to the capabilities of neural network controllers. The appendix describes seven benchmark control problems.
Contributors
Andrew G. Barto, Ronald J. Williams, Paul J. Werbos, Kumpati S. Narendra, L. Gordon Kraft, III, David P. Campagna, Mitsuo Kawato, Bartlett W. Met, Christopher G. Atkeson, David J. Reinkensmeyer, Derrick Nguyen, Bernard Widrow, James C. Houk, Satinder P. Singh, Charles Fisher, Judy A. Franklin, Oliver G. Selfridge, Arthur C. Sanderson, Lyle H. Ungar, Charles C. Jorgensen, C. Schley, Martin Herman, James S. Albus, Tsai-Hong Hong, Charles W. Anderson, W. Thomas Miller, III
by "Nielsen BookData"