到达过程是的泊松过程，有循环检测，周期性检测，结合PCA的尺度不变特征变换(SIFT)算法，时间序列数据分析中的梅林变换工具，本程序的性能已经达到较高水平，可以实现模式识别领域的数据的分类及回归。- Arrival process is a Poisson process, There are cycle detection, periodic testing, Combined with PCA scale invariant feature transform (SIFT) algorithm, Time series data analysis Mellin transform tool, The performance of the program has reached a high level, You can achieve data classification and regression pattern recognition.