Artificial Neural Networks Application in Intelligent Displacement Back Analysis of Deep Mine Roadway Surrounding Rock
The parameters of deep mine roadway surrounding rock are very important to the design, construction and stability analysis of the mine roadways. Now there are some shortcomings in the methods to obtain them. It is believed that displacement back analysis method can solve the problems, but there are some defects in it. Aiming at these problems, the paper builds a network of intelligent displacement back analysis of deep mine roadway surrounding rock which is based on MATLAB NN toolbox. Numerical method and orthogonal design method are used to construct the learning samples, to ensure that the samples are in accord with the practical situation and have uniform dispersivity and symmetrical comparability. At last, an example is introduced to show IDBADMRSRs application. The results show that the method has high computation precision, above 90％, and has overcome some flaws of traditional displacement back analysis methods. The method is feasible and recommendable.
artificlal neural network displacement back analysis orthogonal design deep mine roadway
CHEN Haiming WANG Renhe
School of Civil Engineering and Architecture Anhui University of Science and Technology Huainan, China
国际会议
长沙
英文
808-811
2010-05-11（万方平台首次上网日期，不代表论文的发表时间）