摘要
矿井生产系统是一个涉及很多因素的复杂系统,各种自然因素、机器因素与人工因素并存,又受到气体、煤尘等环境因素的影响,不同因素之间还存在相互关联。因此,煤矿安全预测是一个典型的非线性问题。神经网络是一个典型的非线性动力学系统,能够利用历史的训练样例对未来趋势进行准确的预测,非常适于解决矿井安全预测问题。文章提出了将神经网络用于该问题的想法,并分析了可行性。
Mine production system is a complex system involving many factors including natural factors,human factors and machine factors,and the gas,dust and other environmental factors.There are so many interrelated factors that make the coal mine safety be a typical non-linear prediction problem.Neural network is a typical nonlinear dynamic system,and it can take advantage of the training examples of historical accurate predictions of future trends,so it is very appropriate to solve the issue of mine safety.In this paper,a neural network model is proposed to solve the mine safety prediction,and the feasibility of the model is discussed.
出处
《煤炭技术》
CAS
北大核心
2012年第5期80-82,共3页
Coal Technology
关键词
非线性
矿井安全预测
神经网络
nonlinear
mine safety prediction
neural network
