Research for a Dynamic Recurrent Fuzzy Wavelet Network

Authors:
Zhigang Wang;Hong Peng;Jun Wang
Affiliations:
Xihua University, China;Xihua University, China;Xihua University, China
Venue:
ISDA '06 Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications - Volume 01
Year:
2006

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Fuzzy wavelet neural network models for prediction and identification of dynamical systems

IEEE Transactions on Neural Networks

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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.