包含特征值与特征向量的提取、训练样本以及最后的识别，针对EMD方法的不足,包含CV、CA、Single、当前、恒转弯速率、转弯模型，使用混沌与分形分析的例程，用于建立主成分分析模型，插值与拟合，解方程，数据分析，包括AHP，因子分析，回归分析，聚类分析。

- Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, For lack of EMD, It contains CV, CA, Single, current, constant turn rate, turning model, Use Chaos and fractal analysis routines, Principal component analysis model for establishing, Interpolation and fitting, solution of equations, data analysis, Including AHP, factor analysis, regression analysis, cluster analysis.