Title :
Chaos identification using variable structure recurrent neural networks
Author :
Felix, Ramon A. ; Sanchez, Edgar N.
Author_Institution :
CINVESTAV, Unidad Guadalajara, Mexico
Abstract :
We present a new approach for chaos identification using variable structure recurrent neural networks (VSRNN) identification. A neural network identifier is presented, whose structure changes depending on its performance. In this way, a trade off between identification error and computational complexity is achieved.
Keywords :
chaos; computational complexity; identification; recurrent neural nets; VSRNN identification; chaos identification; computational complexity; identification error; neural network identifier; variable structure recurrent neural networks; Chaos; Computational complexity; Control system synthesis; Differential equations; Electronic mail; Neural networks; Neurons; Nonlinear control systems; Nonlinear systems; Recurrent neural networks;
Conference_Titel :
Neural Information Processing, 2002. ICONIP '02. Proceedings of the 9th International Conference on
Print_ISBN :
981-04-7524-1
DOI :
10.1109/ICONIP.2002.1202174
