摘要
为了提高瓦斯涌出预测的准确性,采用BP型神经网络,在MATLAB环境下构建瓦斯动态预测模型。通过该模型可以实现对工作面瓦斯涌出的动态预测,并能够综合判断工作面所处地点的安全状况以及前方的潜在危险性,为实现煤矿安全生产提供保障。
In order to improve the accuracy of the gas emission prediction,the BP neural network was applied to establish the gas emission dynamic prediction model under the MATLAB environment.Through this model,the dynamic prediction of the gas emission at the face can be realized and the safety case and the potential danger can be estimated synthetically to provide security for realizing safety production.
出处
《煤炭技术》
CAS
北大核心
2012年第5期69-70,共2页
Coal Technology
基金
河北省自然科学基金(D201000)
