摘要
阐述了运用人工神经网络建立煤矿底板突水预测模型的思路与方法，并以山东国家庄煤矿为例，对该方法的合理性和准确性进行了验证．研究表明，利用人工神经网络建立非线性系统的预测模型，具有自学习、自适应、精度高等显著优点．
The paper introduces the theory and method of application of artificialneural network (ANN) in establishing forecasting model of water inrush in coal mine.The rationality and veracity are validated by practical example of water inrush inGuojiazhuang coal mine, Shandong province' The ANN is proved to be an efficientmethod to establish forecasting models of nonlinear system for its characters such asself-adapt, self-study and high precision.
出处
《灾害学》
CSCD
1999年第1期28-32,共5页
Journal of Catastrophology
关键词
煤矿
底板突水
神经网络
矿井水
突水预测
Artificial neural network, Coal mining, Water inrush, Forecast
