Title :
Research for a Dynamic Recurrent Fuzzy Wavelet Network
Author :
Wang, Zhigang ; Peng, Hong ; Wang, Jun
Author_Institution :
Sch. of Electr. & Inf., Xihua Univ., Chengdu
Abstract :
This paper proposes a dynamic recurrent fuzzy wavelet network (DRFWN) for identified nonlinear dynamic systems. Temporary relations are embedded in the network by adding feedback connections in the second layer of the fuzzy wavelet network. In addition, the study algorithm of the DRFWN is introduced and its stability analysis is studied. Finally, the DRFWN is applied in several simulations. The results verify the effectiveness of the DRFWN
Keywords :
fuzzy neural nets; nonlinear systems; recurrent neural nets; stability; dynamic recurrent fuzzy wavelet network; feedback connections; nonlinear dynamic system; stability analysis; Computer science; Control systems; Feedforward neural networks; Fuzzy systems; Mathematics; Neural networks; Nonlinear dynamical systems; Recurrent neural networks; Stability analysis; Wavelet analysis;
Conference_Titel :
Intelligent Systems Design and Applications, 2006. ISDA '06. Sixth International Conference on
Conference_Location :
Jinan
Print_ISBN :
0-7695-2528-8
DOI :
10.1109/ISDA.2006.224
