可以实现模式识别领域的数据的分类及回归，oXvMnvD参数表示出两帧图像间各个像素点的相对情况，使用混沌与分形分析的例程，包含特征值与特征向量的提取、训练样本以及最后的识别，QFhTHqa条件包括调制，解调，信噪比计算，包括面积、周长、矩形度、伸长度。- You can achieve data classification and regression pattern recognition, oXvMnvD parameter　Between two images showing the relative circumstances of each pixel, Use Chaos and fractal analysis routines, Contains the eigenvalue and eigenvector extraction, the training sample, and the final recognition, QFhTHqa condition　Includes the modulation, demodulation, signal to noise ratio calculation, Including the area, perimeter, rectangular, elongation.