Title :
Generalized Wavelet Neuro-Fuzzy Model and its Application in Time Series Forecasting
Author :
Banakar, Ahmad ; Azeem, Mohammad Fazle
Author_Institution :
Dept. of Electr. Eng., AMU Aligarh Univ.
Abstract :
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
Keywords :
forecasting theory; fuzzy neural nets; time series; wavelet transforms; multiplication wavelet neural network; neuro-fuzzy model; summation wavelet neural network; time series forecasting; wavelet network; Continuous wavelet transforms; Educational institutions; Frequency; Fuzzy neural networks; Fuzzy systems; Neural networks; Neurons; Predictive models; Signal resolution; Wavelet analysis;
Conference_Titel :
Evolving Fuzzy Systems, 2006 International Symposium on
Conference_Location :
Ambleside
Print_ISBN :
0-7803-9719-3
Electronic_ISBN :
0-7803-9719-3
DOI :
10.1109/ISEFS.2006.251139
