摘要
煤炭自燃预测预报是对一定周围环境和条件下煤炭自燃的发生发展以及变化速度和危险程度给出正确的判定。本文应用神经网络中的BP算法,建立了待开采煤层自然发火危险性程度评价集合预测模型,在MATLAB软件环境下给出了解算方法。并举例说明了该方法的实用性和可靠性,绘制了误差变化曲线。该方法对矿井各类灾害事故的预测预报具有一定的指导意义。
The forecast and prediction of the coal self-ignition is to give correct judges about occurring and developing, as well as changing speed and dangerous level of the coal self-ignition under the definite surrounding environment and condition. BP's algorithm in the neural network is applied in this paper.The paper presents the judging model and the method of calculation under MATLAB's software environment. Practical nature and reliability of this method are illustrated, and the error change curve are drawn.
出处
《辽宁工程技术大学学报（自然科学版）》
CAS
北大核心
2002年第3期281-283,共3页
Journal of Liaoning Technical University (Natural Science)
关键词
BP算法
待开采煤层
自然发火
危险性预测
BP's algorithm
coal self-ignition
forecast and prediction
MATLAB's environment
the dangerous nature classification
