DocumentCode
556429
Title
Analysis of building ceramic defects based on neural network
Author
Li-hua, Yang
Author_Institution
Sch. of Inf. Eng., JingDeZhen Ceramic Inst., Jingdezhen, China
Volume
1
fYear
2011
fDate
22-23 Oct. 2011
Firstpage
249
Lastpage
251
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;
fLanguage
English
Publisher
ieee
Conference_Titel
System Science, Engineering Design and Manufacturing Informatization (ICSEM), 2011 International Conference on
Conference_Location
Guiyang
Print_ISBN
978-1-4577-0247-1
Type
conf
DOI
10.1109/ICSSEM.2011.6081197
Filename
6081197
Link To Document