Rough Set of Optimized Probabilistic Neural Network in Identification of Blue and White Ceramic from Jingdezhen

The chemical composition is usually acquired by various scientific analyses in blue and white ceramics researches from Jingdezhen,then they are classified and catalogued by the calculation based on some proper mathematical model,finally the discrimination functions can be got. This paper introduces the rough set theory and probabilistic neural network for some of the basic concepts, and give the optimal probability rough set neural network method to establish the Jingdezhen blue and white porcelain dating model the basic steps and the pottery chemical composition data processing method, through the application examples, it shows that the methods of Jingdezhen blue and white dating of ceramics research results to achieve the expected purpose.