DocumentCode :
2399405
Title :
A New Artificial Neural Network and its Application in Wavelet Neural Network and Wavelet Neuro-Fuzzy Case study: Time Series Prediction
Author :
Banakar, Ahmad ; Azeem, Mohammad Fazle
Author_Institution :
Dept. of Electr. Eng., Aligarh Muslim Univ.
fYear :
2006
fDate :
Sept. 2006
Firstpage :
621
Lastpage :
625
Abstract :
The approximation of general continuous functions by nonlinear network is very useful for system modeling and identification. Therefore, different type of networks and their combinations have developed. In present paper a wavelet neural network is used and a linear regression of inputs is used as a wavelet weight, also this model is applied in wavelet neuro-fuzzy model
Keywords :
fuzzy neural nets; regression analysis; time series; wavelet transforms; artificial neural network; linear regression; time series prediction; wavelet neural network; wavelet neurofuzzy model; wavelet weight; Adaptive systems; Artificial neural networks; Continuous wavelet transforms; Educational institutions; Fuzzy neural networks; Fuzzy systems; Neural networks; Performance analysis; Signal analysis; Wavelet analysis; Neuro-fuzzy model; Time series; Wavelet neural network; Wavelet neuro-fuzzy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems, 2006 3rd International IEEE Conference on
Conference_Location :
London
Print_ISBN :
1-4244-01996-8
Electronic_ISBN :
1-4244-01996-8
Type :
conf
DOI :
10.1109/IS.2006.348491
Filename :
4155498
Link To Document :
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