急倾斜煤层顶煤可放性识别的神经网络模型  

An artificial neural network for distinguishing the difficulty degree of roof coal caving of steep seam

作　　者：王卫军[1] 朱川曲[1] 熊仁钦 

机构地区：[1]湘潭工学院采矿与安全工程研究所,湖南湘潭411201

出　　处：《煤炭学报》2000年第1期36-39,共4页Journal of China Coal Society

摘　　要：在总结分析现场工业性试验的基础上,建立了急倾斜煤层放顶煤法顶煤可放性识别的人工神经网络模型,模型能对不同开采条件下的顶煤可放性进行准确的识别,对推广急倾斜煤层放顶煤有重要的指导意义.Based on summarizing of the site industrial test ,an artificial neural network model is established for distinguishing the difficulty degree of roof coal caving of the steep seam.The difficulty degree of roof coal caving can be exactly distinguished by the model ,which will play an important role in the sub level caving in the steep seam.

关 键 词：急倾斜煤层 放顶煤 顶煤可放性 人工神经网络 

分 类 号：TD823.213[矿业工程—煤矿开采]