Neural Network Architecture Based on the Production Process of Ceramic Classification System of Environmental Factors
This article is about a green product in the ceramic industry that is not mature in the context of production. we make use of new neural network approach to the accurate classification of general building ceramics, to facilitate the construction of ceramic materials to handle the production line of various ceramic the proportion of environmental factors, so the decision on the most environmentally friendly way of energy production technology. To this end, we have introduced a BP neural network model and parameters proposed the concept of porcelain, porcelain shape parameters from the correlation analysis, discussing the porcelain the determination of parameters. Finally, we create the required network, and it trained until getting the training error of the training requirements.
Zhenyu Du and Zheng Wang
C. Hong et al., "Neural Network Architecture Based on the Production Process of Ceramic Classification System of Environmental Factors", Advanced Materials Research, Vol. 280, pp. 217-221, 2011