摘要
文章采用BP神经网络模型,通过分析钱营孜及周边矿井地质条件与巷道支护效果,确定影响巷道支护的主要参数,建立样本空间,进行网络训练,并开发出一个具有可视化界面的支护参数设计软件,成功地应用于钱营孜煤矿巷道支护参数设计。
With the analysis on the geological conditions and mine roadway support effect in Qianyingzi Mine and the surrounding mines,the BP neural network model was applied to determine the main parameter affected to the mine roadway support,to establish the sample space and to have a network training.The support parameter design software with a visible interface was developed and was successfully applied to the design of the mine roadway support parameters in Qianyingzi Mine.
出处
《煤炭工程》
北大核心
2010年第12期11-13,共3页
Coal Engineering
基金
国家自然科学基金(50804002
40972188)
高等学校博士学科点专项科研基金(200803610004)
