遗传算法优化BP神经网络预测上覆岩层破坏范围  

Genetic Algorithm Optimizing BP Neural Network in Prediction of Overlying Strata Damage Extent

作　　者：张红鸽[1] 张钊[2] 张伟 

机构地区：[1]太原理工大学矿业工程学院,山西太原030024 [2]中联煤层气有限责任公司,山西太原030012 [3]中联山西煤层气有限公司,山西太原030001

出　　处：《煤矿安全》2012年第4期15-17,共3页Safety in Coal Mines

摘　　要：对吕梁矿区部分煤矿不同煤层的上邻近层瓦斯卸压范围展开了深入的探究和分析,并提出了遗传算法优化BP神经网络预测上覆岩层破坏范围的模型。通过新旧模型对20组矿井开采情况在训练预测冒落带、裂隙带范围的实际对比,可以发现,优化后的网络模型收敛更快、误差更小、拟合效果更佳。This paper made in-depth research and analysis about gas pressure relief range of different seams＇ overlying near layers in part coal mines of Luliang,then proposed the model of the BP neural network by the genetic algorithm in terms of forecasting overlying strata damage extent.Through the actual comparison of training prediction caving zone and fractured zone in exploitation of twenty mines with the old and new model,the optimized network model showed faster convergence,less error and better fitting effect.

关 键 词：上邻近层 BP神经网络 遗传算法 优化 破坏范围 岩层 

分 类 号：TD325[矿业工程—矿井建设]