应用小波变换和混沌理论相结合的方法对股票市场进行预测 ,即先对股指时序进行小波分解 ,然后对分解得到的高、低频部分分别进行混沌预测 ,再将预测的结果进行小波重构 ,得到原时序的预测结果。 在此基础上应用小波和混沌理论提出进一步提高预测精度的方法 ,即通过对高频部分再进行小分解、混沌预测和小波重构而使高频部分的预测精度得以提高 ,进而提高原始时序的预测精度。(The method of combining wavelet transform and chaos theory is used to forecast the stock market, that is, first to perform wavelet decomposition on the time series of the stock index, and then to perform chaotic prediction on the high and low frequency parts obtained by the decomposition, and then to reconstruct the prediction result by wavelet. The prediction result of the original time series. On this basis, wavelet and chaos theory is used to propose a method for further improving the prediction accuracy, that is, the high-frequency portion is further subjected to wavelet decomposition, chaotic prediction, and wavelet reconstruction to improve the prediction accuracy of the high-frequency portion, thereby improving the original time series. Prediction accuracy.)