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
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;
Conference_Titel :
Information Science and Engineering (ICISE), 2010 2nd International Conference on
Conference_Location :
Hangzhou, China
Print_ISBN :
978-1-4244-7616-9
DOI :
10.1109/ICISE.2010.5691601