应用科学学报 ›› 2000, Vol. 18 ›› Issue (3): 208-210.

• 论文 • 上一篇    下一篇

小波神经网络及其在非线性时间序列中的应用

谢美萍1, 赵希人1, 庄秀龙2   

  1. 1. 哈尔滨工程大学自动化学院, 黑龙江哈尔滨 150001;
    2. 哈尔滨空气动力研究所, 黑龙江哈尔滨 150001
  • 收稿日期:1999-09-21 修回日期:2000-01-05 出版日期:2000-09-30 发布日期:2000-09-30
  • 作者简介:谢美萍(1974-),女,江苏如皋人,博士生.
  • 基金资助:
    95国防基金预研课题(43.1.6.1②)资助项目.

The Application of Wavelet in the Approximation of Non-linear Time Series

XIE Mei-ping1, ZHAO Xi-ren1, ZHUANG Xiu-long2   

  1. 1. Department if Automatic Control, Harbin Engineering University, Harbin 150001, China;
    2. Harbin Aeriadynamic Research Institute, Harbin 150001, China
  • Received:1999-09-21 Revised:2000-01-05 Online:2000-09-30 Published:2000-09-30

摘要: 介绍将小波神经网络理论应用于非线性时间序列的拟合与预报,主要应用于太阳黑子,洛川数据等进行拟合、预报,并将拟合、预报的结果分别与投影寻踪学习网络及改进的BP网进行了比较,说明了小波网具有很好的拟合、预报性质.

关键词: 神经网络, 小波, 非线性时间序列

Abstract: The approximation properties of wavelet networks which is applied to non-linear time series is studied in this paper. Moreover, compared with projection pursuit learning networks and improved back propagation learning, wavelet networks have good fitness and forecasting properties.

Key words: wavelet analysis, neural network, non-linear time series model

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