Neural Network Architecture Based on the Production Process of Ceramic Classification System of Environmental Factors

Chao Hong; Ru Zhang; Xiao Hua Huang

doi:10.4028/www.scientific.net/AMR.280.217

Paper Titles

Northeast China Rural Residential Passive Solar Design Exploration
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Not just Poetic - Timber Structure’s New Development in China
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Research and Application on Magnesium Slag
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Study on the Energy-Saving Composite Board Consisting of Wasted EPS Foam Plastics
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Neural Network Architecture Based on the Production Process of Ceramic Classification System of Environmental Factors
p.217

Research on the Granulating Water of Blast Furnace Slag for Building Heating
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Research on the Energy Saving Renovation Solution for Existing Residential Buildings in Heibei Province
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Modeling and Experimental Verification of Casted Heat Exchanger in Non-Icing and Icing Conditions in Winter
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Applications of Seawater Source Heat Pump in Buildings
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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 280Neural Network Architecture Based on the...

Neural Network Architecture Based on the Production Process of Ceramic Classification System of Environmental Factors

Abstract:

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.