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 :
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