摘要
正确预测瓦斯涌出量,对于指导矿井设计和煤矿安全生产有重要的现实意义。为解决现有的矿井瓦斯涌出量预测方法不能实现自动化处理等问题,本文开发了基于神经网络的矿井瓦斯涌出量预测系统GGP,并介绍了该系统在实际工程上的应用情况。
Accurate prediction of gas emission is of great practical significance in guiding mine design and ensuring work safety in coal mines. In order to solve the problem that automatic settlement can＇ t be realized with existing predicting methods for mine gas emission, the authors have developed the Neural Network-based GGP Mine Gas Emission Predicting System and introduced the application of the system in practical engineering.
出处
《中国煤层气》
2007年第1期30-33,共4页
China Coalbed Methane
关键词
神经网络
瓦斯预测
GGP预测系统
工程应用
Neural Network
gas prediction
GGP Predicting System
engineering application
