DocumentCode :
3220268
Title :
Immunized adaptive critics
Author :
KrishnaKumar, K. ; Neidhoefer, J.
Author_Institution :
Dept. of Aerosp. Eng. & Mech., Alabama Univ., Tuscaloosa, AL, USA
Volume :
4
fYear :
1997
fDate :
9-12 Jun 1997
Firstpage :
2283
Abstract :
Immunized computational systems combine a priori knowledge with the adapting capabilities of immune systems to provide a powerful alternative to currently available techniques for intelligent control. In this paper, we present our perspective on various levels of intelligent control and relate them to similar functioning in human immune systems. A technique for implementing immunized computational systems as adaptive critics is presented and the technique is then applied to a control problem to document the effectiveness of this approach
Keywords :
dynamic programming; intelligent control; learning systems; neurocontrollers; heuristic dynamic programming; immunized adaptive critics; immunized computational systems; intelligent control; learning systems; neural nets; Adaptive control; Adaptive systems; Control systems; Dynamic programming; Error correction; Feedback control; Humans; Immune system; Intelligent control; Programmable control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks,1997., International Conference on
Conference_Location :
Houston, TX
Print_ISBN :
0-7803-4122-8
Type :
conf
DOI :
10.1109/ICNN.1997.614406
Filename :
614406
Link To Document :
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