Neural Networks for Control

Neuauflage 1995
ISBN: 978-0-262-63161-7
Verlag: MIT Press Ltd

Buch, Englisch, 544 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 862 g

Reihe: Neural Network Modeling and Connectionism

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

Autoren/Hrsg.

Miller, W. Thomas, III

Sutton, Richard S.

Werbos, Paul J.

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Fuzzy-Systeme
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Robotik

Über Autor(innen)

Werbos, Paul J.
Paul J. Werbos is Program Director for Neuroengineering at the National Science Foundation.

Sutton, Richard S.
Richard S. Sutton is Professor of Computing Science and AITF Chair in Reinforcement Learning and Artificial Intelligence at the University of Alberta, and also Distinguished Research Scientist at DeepMind.

Miller, W. Thomas, III
W. Thomas Miller, III is Professor of Electrical and Computer Engineering at the University of New Hampshire.