DocumentCode
3279968
Title
Backpropagation and neurocontrol: a review and prospectus
Author
Werbos, Paul J.
fYear
1989
fDate
0-0 1989
Firstpage
209
Abstract
The author reviews highlights of the emerging field of neurocontrol and describes how backpropagation could be used in a new generation of controllers suitable for problems involving thousands or millions of control variables and a high degree of noise and nonlinearity. A summary is presented of the five dominant paradigms or architectures now used in this field. The adaptive critic paradigm and how it fits in with backpropagation and dynamic feedback are discussed in more detail. Four adaptive critic architectures are outlined.<>
Keywords
adaptive systems; neural nets; virtual machines; adaptive critic architectures; adaptive critic paradigm; architectures; backpropagation; control variables; dynamic feedback; neurocontrol; noise; nonlinearity; paradigms; Adaptive systems; Neural networks; Virtual computers;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1989. IJCNN., International Joint Conference on
Conference_Location
Washington, DC, USA
Type
conf
DOI
10.1109/IJCNN.1989.118583
Filename
118583
Link To Document