Journal of Applied Sciences ›› 2002, Vol. 20 ›› Issue (2): 160-164.
• Articles • Previous Articles Next Articles
YANG Tao, WANG Xue-lei, SHAO Hui-he
Received:
Revised:
Online:
Published:
Abstract: In this paper, we discuss the online identification of the chaotic system. A novel online training algorithm for RBF neural network is presented. Some problems related to the algorithm are discussed in detail. Simulations show that the algorithm is very effective and can overcome the shortcomings existing in the so-called offline algorithm, We also use this online neural network to identify chaotic systems with good results.
Key words: chaotic system, RBF neural network, chaos identification, online training
CLC Number:
TP27
YANG Tao, WANG Xue-lei, SHAO Hui-he. A Study of Chaos Identification Via an On line Training RBF Neural Network[J]. Journal of Applied Sciences, 2002, 20(2): 160-164.
0 / / Recommend
Add to citation manager EndNote|Reference Manager|ProCite|BibTeX|RefWorks
URL: https://www.jas.shu.edu.cn/EN/
https://www.jas.shu.edu.cn/EN/Y2002/V20/I2/160