广义小波神经模糊模型及其在时间序列预测中的应用

2006 International Symposium on Evolving Fuzzy Systems Pub Date : 2006-11-30 DOI:10.1109/ISEFS.2006.251139

A. Banakar, M. Azeem

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引用次数: 7

摘要

小波在神经网络和模糊网络中的优势是众所周知的。新的概念是将小波网络与神经模糊模型相结合。本文提出了求和小波神经网络和乘法小波神经网络两种模型。将这两种广义小波神经网络(WNN)模型应用于神经模糊模型，并通过时间序列预测进行了验证

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Generalized Wavelet Neuro-Fuzzy Model and its Application in Time Series Forecasting

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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2006 International Symposium on Evolving Fuzzy Systems

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