Title :
Analysis of building ceramic defects based on neural network
Author_Institution :
Sch. of Inf. Eng., JingDeZhen Ceramic Inst., Jingdezhen, China
Abstract :
This paper uses the BP neural network to analyze the defects of building ceramics, and researches the relationship between building ceramic defects and material. And the results show that the BP neural network method is feasible for being used to analyzing the relationship between the Building ceramics defects and material, at the same time, the paper provides a new method for ceramic defects analysis.
Keywords :
backpropagation; building materials; ceramics; condition monitoring; neural nets; production engineering computing; BP neural network; building ceramics; building materials; defects analysis; Buildings; BuildingCeramic; Defects; NeuralNetwork;
Conference_Titel :
System Science, Engineering Design and Manufacturing Informatization (ICSEM), 2011 International Conference on
Conference_Location :
Guiyang
Print_ISBN :
978-1-4577-0247-1
DOI :
10.1109/ICSSEM.2011.6081197
