摘要
阐述了矿井瓦斯涌出及其预测对安全生产的重要性，指出传统的预测方法的不足之处。应用人工神经网络建立了时间序列的瓦斯涌出量预测模型，克服了传统预测方法必须事先设定变化规律的缺陷，提高了瓦斯涌出预测的准确性。实际应用表明该预测模型的预测精度较高。
The importance of mine gas gushing and its prediction to safe production in coal mines is described, and the shortcomings of the traditional prediction methods are discussed in this paper. For the reasons above, the predicting model of mine gas gushing concerned the time series was established based on the neural network. The model in the paper can overcome the shortages of the traditional predicting methods that have to pre set certain function, and increase the predicting veracity of the mine gas gushing.
出处
《矿冶工程》
CAS
CSCD
北大核心
1999年第1期21-23,共3页
Mining and Metallurgical Engineering
基金
煤炭高校优秀青年科学基金
关键词
神经网络
预测模型
矿井
瓦斯
涌出预测
Neural network, Prediction model, Prediction of mine gas gushing
