贝叶斯决策理论：根据先验概率、类分布密度函数以及后验概率这些量来实现分类决策的方法.最小错误率的贝叶斯决策：根据一个事物后验概率最大作为分类依据的决策 -Bayesian decision theory: According to the a priori probability, the class distribution as well as the posterior probability density function of these values in order to a

该函数用来计算任意函数的一阶偏导数(数值方法),最小均方误差（MMSE）的算法，采用加权网络中节点强度和权重都是幂率分布的模型。- This function is used to calculate the arbitrary function of the first order partial derivative (numerical methods), Minimum mean square error (MMSE) algorithm, Using weighted model no