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Generalized wavelet neuro-fuzzy model and its application in time series forecasting
Conference proceeding

Generalized wavelet neuro-fuzzy model and its application in time series forecasting

Ahmad Banakar and Mohammad Fazle Azeem
2006 INTERNATIONAL SYMPOSIUM ON EVOLVING FUZZY SYSTEMS, PROCEEDINGS, pp.253-258
01/01/2006
DOI: https://doi.org/10.1109/ISEFS.2006.251139

Abstract

Computer Science Computer Science, Artificial Intelligence Science & Technology Technology
The advantages of wavelets when used in neural networks and fuzzy are well known. The new notion is to combine wavelet networks and neuro-fuzzy models. In this paper two models namely Summation wavelet Neural Network (SWNN) and Multiplication Wavelet Neural Network (MWNN) are proposed. These two generalized Wavelet Neural Network (WNN) models are used in neuro-fuzzy model are tested by using time series prediction.

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