Nonlinear System Identification with Recurrent Neural
Network Based on Genetic Algorithm

FENGHao; HEHong-yun; MI Zu-qiang

Volume 15 Issue 4

Aug. 2002

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Article Contents

Journal of Southwest Jiaotong University > 2002 > 15(4): 404-407.

FENGHao, HEHong-yun, MI Zu-qiang. Nonlinear System Identification with Recurrent NeuralNetwork Based on Genetic Algorithm[J]. Journal of Southwest Jiaotong University, 2002, 15(4): 404-407.

Citation:

FENGHao, HEHong-yun, MI Zu-qiang. Nonlinear System Identification with Recurrent Neural Network Based on Genetic Algorithm[J]. Journal of Southwest Jiaotong University, 2002, 15(4): 404-407.

FENGHao, HEHong-yun, MI Zu-qiang. Nonlinear System Identification with Recurrent NeuralNetwork Based on Genetic Algorithm[J]. Journal of Southwest Jiaotong University, 2002, 15(4): 404-407.

Citation:

FENGHao, HEHong-yun, MI Zu-qiang. Nonlinear System Identification with Recurrent Neural Network Based on Genetic Algorithm[J]. Journal of Southwest Jiaotong University, 2002, 15(4): 404-407.

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Nonlinear System Identification with Recurrent Neural Network Based on Genetic Algorithm

Publish Date: 25 Aug 2002

Abstract

Abstract

An internal time-delay recurrent neural network (RNN) is used for identification of nonlinear dynamic systems, and its dynamic equations are described. As a learning algorithm, an improved genetic algorithm is applied to train the RNN. Two identification simulation examples for nonlinear dynamic SISO and MIMO plants validate the efficiency of the internal time-delay RNN and the improved GA.
- nonlinear system,
- identification,
- recurrent neural networks,
- genetic algorithms