Intelligent green production of raw materials in ceramic technology of choice

This article is designed to establish the basis of the green ceramic, mainly for traditional ceramic raw materials selected on the lack of ideas and methods, and in-depth study of modern ceramic enterprise in material selection problems. According to the basic concepts of ceramic raw materials, basic adaptation and impact factor analysis, given the general principles and selection process, and this tensor product wavelet neural network modeling and artificial intelligence methods, building material selection of ceramic green system framework. Through the ceramic material composition of the sample input to the network for training and testing, fast convergence, not only analysis of existing materials do not exist misdiagnosis, but also the emerging material composition can all properly classified and presented to environment as the main factor in the decision-making.