Title :
Neural networks in 2-D continuous time
Author_Institution :
Dept. of Math., Alabama Univ., Tuscaloosa, AL, USA
fDate :
6/21/1905 12:00:00 AM
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;
Conference_Titel :
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Print_ISBN :
0-7803-5529-6
DOI :
10.1109/IJCNN.1999.831577
