利用贝叶斯原理估计混合logit模型的参数，包括主成分分析、因子分析、贝叶斯分析，大学数值分析算法，有循环检测，周期性检测，随机调制信号下的模拟ppm，最小二乘回归分析算法，表示出两帧图像间各个像素点的相对情况，采用加权网络中节点强度和权重都是幂率分布的模型。- Bayesian parameter estimation principle mixed logit model, Including principal component analysis, factor analysis, Bayesian analysis, University of numerical analysis algorithms, There are cycle detection, periodic testing, Random ppm modulated analog signal under Least-squares regression analysis algorithm, Between two images showing the relative circumstances of each pixel, Using weighted model nodes in the network strength and weight are power law distribution.