摘要
在对混沌时间序列与随机序列的不同特征进行分析的基础上，提出一种可对二者予 以区分的判定算法．并结合具有优异特性的小波函数，构造一种小波神经网络．最终给出基于 小波网络的集成的混沌时间序列判定一预测算法．
The deferent features are analyzed based on chaotic time series and stochastic series. A jud-gment algorithm has been put forward to distinguish the features of both chaotic time series and stochasitic series. A wavelet neural network is structured combining wavelet function and neural network. Finally an in-tegrated algorithm ofjudgment and prediction of chaotic time series has been published.
出处
《北京科技大学学报》
EI
CAS
CSCD
北大核心
2002年第3期295-298,共4页
Journal of University of Science and Technology Beijing
基金
国家自然科学基金重点资助课题(No.69835011)
