DocumentCode
3565870
Title
Neural networks in 2-D continuous time
Author
Belbas, S.A.
Author_Institution
Dept. of Math., Alabama Univ., Tuscaloosa, AL, USA
Volume
1
fYear
1999
fDate
6/21/1905 12:00:00 AM
Firstpage
655
Abstract
We examine certain aspects of neural networks based on controlled 2D systems representable as ordinary differential equations: the use of the asymptotic behaviour of 2D dynamical systems for optimal design, and the use of optimal control of 2D controlled systems for devising learning strategies
Keywords
control system synthesis; differential equations; learning (artificial intelligence); multidimensional systems; neurocontrollers; optimal control; 2D continuous time; 2D dynamical systems; asymptotic behaviour; control design; controlled 2D systems; learning strategies; neural networks; optimal control; optimal design; ordinary differential equations; Bibliographies; Control systems; Control theory; Differential equations; Dynamic programming; Intelligent networks; Lyapunov method; Mathematics; Neural networks; Optimal control;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1999. IJCNN '99. International Joint Conference on
ISSN
1098-7576
Print_ISBN
0-7803-5529-6
Type
conf
DOI
10.1109/IJCNN.1999.831577
Filename
831577
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