一种新的人工神经网络及其在小波神经网络和小波神经模糊预测中的应用——时间序列预测

2006 3rd International IEEE Conference Intelligent Systems Pub Date : 2006-09-01 DOI:10.1109/IS.2006.348491

A. Banakar, M. Azeem

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引用次数: 6

摘要

用非线性网络逼近一般连续函数对系统的建模和辨识是非常有用的。因此，不同类型的网络及其组合出现了。本文采用小波神经网络，将输入的线性回归作为小波权值，并将该模型应用于小波神经模糊模型

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A New Artificial Neural Network and its Application in Wavelet Neural Network and Wavelet Neuro-Fuzzy Case study: Time Series Prediction

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

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2006 3rd International IEEE Conference Intelligent Systems

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