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Adaptive learning algorithm of fuzzy-wavelet-neural network

А. Bednarska , Е. Vynokurova , I. Pliss
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The architecture of fuzzy-wavelet-neural network and its learning algorithm for the solving of nonlinear system modeling tasks are proposed. The simulation of developed fuzzy-wavelet-neural network architecture and its learning algorithm justifies the effectiveness of proposed approach.
Reference:
Bednarskaia, A.A., Vynokurova, E.A. and Plyss, Y.P. (2007), "Adaptyvnыi alhorytm obuchenyia fazzy-vэivlet-neironnoi sety" , Information Processing Systems, Vol. 1(59), pp. 15-18.