摘要
采场巷道的安全预测包含众多的模糊性、不确定性和知识的不完备性,应用神经网络模型的学习能力,进行巷道在掘进过程中的安全状态预测。为矿山安全生产和事故预测奠定了基础。系统在金川二矿区的应用表明,该系统具有较好的适用能力。
Mining roadway safety prediction is a very especial problem which involves many fuzzy and uncertain factors and incomplete knowledge. The safe state prediction of mine tunnel in the course of its excavation using neural network with self - learning ability can provide a basis for the safe in production and accident prediction. The application of the system in No. 2 miming area of Jinchuan indicates its good applicability.
出处
《矿业研究与开发》
CAS
北大核心
2007年第3期75-76,共2页
Mining Research and Development