摘要
本文针对煤矿矿井煤层底板突水系统为一非线性系统的特性，提出采用对非线性问题具有良好适用性的人工神经网络系统（以下简称神经网络），进行煤层底板突水预测。以作者们研制、使用神经网络的实践为基础，阐述系统、建模方法、适用条件和应用问题，并在焦作矿务局演马庄矿、焦作金科尔集团方庄煤矿对所建立的煤层底板突水预测神经网络进行生产性检验，取得良好的结果。
Aiming at the water inrush system of coal floor as a non linear system,this paper has put forward applying artificial neural network(ANN) method which is well adaptable to non linear problems to water inrush forecast through coal floor (WIFF).On the basis of the authors,several year practice to develop and apply ANN to WIFCF,the principle of method,adaptive conditions,model establishment method and problems in application are explained.ANN model is tested at Yanmazhuang Coal Mine of Jiaozuo Coal Bureau and Fangzhuang Coal Mine of gold Coal grouping.Satisfactory results were obtained.It is proved that applying ANN to WIFCF is reliable.
出处
《水文地质工程地质》
CAS
CSCD
1999年第4期33-37,共5页
Hydrogeology & Engineering Geology
基金
国家自然科学基金
关键词
人工神经网络
非线性
突水预测
煤层底板突水
artificial neural network,non linear,neural element,water inrush forecast
