Abstract:

The classify identification is one of the most widely used methods of statistical analysis. The classify identification is used to explain the geometric model of object by matching geometric features and the description of features. To obtain the features of productions is the key point of the classify identification. In view of part equipment group optimized network model, a method of Bayesian inference is given. These studies classify the parts and equipments by the diffuse prior distribution of Bayesian inference classification. According to the judgment of forecast density function of sample, the posterior probability ratio and the identification rules to classify the samples are set.