A new method is proposed to predict the stock market based on wavelet packet transformation and chaos theory, which can not only describe a time series but also capture the features of the chaos.
基于小波包变换和混沌理论提出了一种股票市场建模及其预测的新方法，既能刻划时间序列的规律，又能捕捉混沌状态的特征。
A new method is proposed to predict the stock market based on wavelet packet transformation and chaos theory, which can not only describe a time series but also capture the features of the chaos.
基于小波包变换和混沌理论提出了一种股票市场建模及其预测的新方法，既能刻划时间序列的规律，又能捕捉混沌状态的特征。
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