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 :
بازگشت