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混沌与神经网络相结合的预测算法及其应用
引用本文:罗俊锋,郑君里,孙守宇. 混沌与神经网络相结合的预测算法及其应用[J]. 电波科学学报, 1999, 14(2): 172-177
作者姓名:罗俊锋  郑君里  孙守宇
作者单位:1. 清华大学电子工程系,北京,100084
2. 总参第55研究所,北京,100088
摘    要:探讨了混沌理论与前馈人工神网络相结合进行非线性时间序列预测的基本原理,并对影响短波通信的两个参数;年太阳黑子数和天10cm辐射强度,在SVD滤波的基础上进行了预测。

关 键 词:混沌  非线性时间序列  前向BP神经网络  太阳黑子数  10cm辐射强度

Prediction algorithm based on the combination of chaos and neural network and it's applications
LOU Jun-feng,ZHENG Jun-li,SUN Shou-yu. Prediction algorithm based on the combination of chaos and neural network and it's applications[J]. Chinese Journal of Radio Science, 1999, 14(2): 172-177
Authors:LOU Jun-feng  ZHENG Jun-li  SUN Shou-yu
Abstract:In this paper, the principles of nonlinear time series prediction based on the combination of Chaos theory and FeedForward Neural Network are set forth. A noisefiltering algorithm based on SVD (Singular Value Decomposition) is discussed too. Two parameters in shortwave communication: Sunspot number and 10cm flux are predicted based on the algorithm.
Keywords:Chaos  Nonlinear time series  Feedforward BP Neural Network  Sunspot Number  10cm flux
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