改进BP算法在开采煤层自燃危险性预测中的应用  

The application of modified BP neural network to predict mine coal layer spontaneous combustion

作　　者：肖红飞[1] 刘黎明 王海桥[1] 

机构地区：[1]湘潭工学院资源工程系,湖南湘潭411201 [2]涟邵矿务局金竹山煤矿,湖南冷水江417505

出　　处：《煤炭学报》2001年第6期649-653,共5页Journal of China Coal Society

基　　金：国家自然科学基金资助项目 ( 5 99740 2 2 )

摘　　要：为了正确预测开采煤层自然发火的趋势与危险性 ,提出了一种改进的BP网络模型 :采用自适应变步长法和改进模拟退火法 (SA法 )等措施 ,以加快BP网络的收敛速度 ,增强了其跳出局部极小点的能力 .实际应用表明 ,该模型收敛速度快 ,准确性高 ,是一种十分有效的开采煤层自燃危险性预测方法 。For the purpose of predicting the dangerous state in mine coal layer spontaneous combustion correctly, a kind of modified BP neural network was put forward in this paper.In order to speed up the network convergence speed and avoid falling into local minimum point, a mixed method was adopted, by means of changing network iteration step length and the Simulated Annealing(SA)method.Practical application demonstrates that the prediction model has fast convergence speed and good prediction accuracy, which is also a kind of very efficient prediction method for coal layer spontaneous combustion, and has an important practical meaning for the mine production safety.

关 键 词：神经网络 自燃 危险性 BP算法 煤层 自适应变步长法 改进模拟退火法 

分 类 号：TD752.2[矿业工程—矿井通风与安全]