Predicting time series with wavelet packet neural networks

被引：0

作者：

Wang, LP ^{[1
]}

Teo, KK ^{[1
]}

Lin, ZP ^{[1
]}

机构：

[1] Nanyang Technol Univ, Sch Elect & Elect Engn, Singapore 639798, Singapore

来源：

IJCNN'01: INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, PROCEEDINGS | 2001年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Inspired by both the multilayer perceptron (MLP) and wavelet decomposition, Zhang and Benveniste proposed the wavelet MLP (W-MLP), which has been used for time series prediction. The wavelet packet MLP (WP-MLP) is an MLP with the wavelet packet as a feature extraction method to obtain time-frequency information. The WP-MLP has been successfully applied to biomedical, image and speech classification. In this paper, we demonstrate that the WP-MLP can he a very promising approach to time series prediction.

引用

页码：1593 / 1597

页数：5

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