DocumentCode :
2156954
Title :
Displacement forecast of rockstrata around deep roadway under dynamic pressure utilizing PSO-BP network
Author :
Shi, Yong-kui ; Shao, Jian-sheng
Author_Institution :
Resources and Environment Engineering Institute, Shandong University of Science and Technology, Qingdao, 266510, China
fYear :
2010
fDate :
4-6 Dec. 2010
Firstpage :
2025
Lastpage :
2029
Abstract :
Considering the main affect factors of displacement of rockstrata around deep roadway under dynamic pressure, using PSO-BP and BP network respectively to forecast the displacement of rockstrata around deep roadway under dynamic pressure. As a result, it comes to a conclusion that the convergence speed and the predicted accuracy of PSO-BP network are obviously better than that of BP network.
Keywords :
Algorithm design and analysis; Artificial neural networks; Convergence; Forecasting; Neurons; Prediction algorithms; Training; Back-propagation neural network; PSO-BP network; deep roadway under dynamic pressure; forecast of rockstrata;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location :
Hangzhou, China
Print_ISBN :
978-1-4244-7616-9
Type :
conf
DOI :
10.1109/ICISE.2010.5691601
Filename :
5691601
Link To Document :
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