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。
Based on the theory of information, the method USES images' entropy and invariant moments to capture the shape and spatial information of images.
该算法从信息论的角度出发，综合利用图象信息熵及不变矩的特性来描述商标图象的形状特征。
Based on the theory of information, the method USES images' entropy and invariant moments to capture the shape and spatial information of images.
该算法从信息论的角度出发，综合利用图象信息熵及不变矩的特性来描述商标图象的形状特征。
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