摘要
正确预测瓦斯涌出量,对于指导矿井设计和安全生产具有重要的现实意义。针对现有的矿井瓦斯涌出量预测方法的不足,开发了基于神经网络的矿井瓦斯涌出量GGP预测系统,改进神经网络模型的学习算法,并在工程上进行验证,能够实现矿井瓦斯涌出量预测的数字化、信息化与自动化。
The accurate prediction of mine gas gushing have the realistic significance for mining design and safe production. Due to the defieiencies of the existing prediction methods of mine gas gushing, the GGP system of mine gas gushing based on neural network has been developed. The studying arithmetic of the models on neural network has been improved, and the soft has been applied in the engineering practice. The digit, automation and communication of the prediction for mine gas gushing can be realized.
出处
《煤炭技术》
CAS
2008年第11期71-74,共4页
Coal Technology
