DocumentCode
2285774
Title
Study on Neural Network Breakout Prediction System Based on Temperature Unit Input
Author
Xu, Qin ; Ma Lianjun ; Zhang Yongguo ; Qin Xu ; Cui Yuanzhe
Author_Institution
Univ. of Sci. & Technol. Liaoning, Anshan, China
Volume
3
fYear
2010
fDate
13-14 March 2010
Firstpage
612
Lastpage
615
Abstract
The breakout prediction system of traditional BP neural network is analysed and discussed in this paper, the structure of BP neural network combined with actual situation is redesigned. Based on the input of temperature unit, the breakout prediction system of BP neural network become more concise and more convenient, at the same time, some necessary supplementary methods make the prediction more quick and more accurate.
Keywords
backpropagation; neural nets; BP neural network; neural network breakout prediction system; temperature unit input; Automation; Iron; Joining processes; Mechatronics; Neural networks; Neurons; Signal processing; Signal processing algorithms; Steel; Temperature sensors; BP neural network; breakout prediction; temperature unit input;
fLanguage
English
Publisher
ieee
Conference_Titel
Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
Conference_Location
Changsha City
Print_ISBN
978-1-4244-5001-5
Electronic_ISBN
978-1-4244-5739-7
Type
conf
DOI
10.1109/ICMTMA.2010.190
Filename
5459051
Link To Document