基于灰色神经网络算法的煤矿瓦斯涌出量预测模型的研究

详细信息

Research of Prediction Model of Mine Gas Emission Quantity Based on Grey Neural Network Algorithm

1.
Dept.of Mechanical Engineering of Anyang Institute of Technology,Anyang 455000,China.2.Sintering Plant of Anyang Steel and Iron Corporation,Anyang 455004,China

摘要: 文章提出了一种采用灰色神经网络对煤矿瓦斯涌出量进行预测的方法,并在此基础上详细介绍了灰色神经网络瓦斯预测模型的构建过程,给出了应用实例。仿真结果表明,该模型具有预测精度高、所需样本少、计算简便等优点。
- 煤矿 /
- 瓦斯涌出量 /
- 灰色神经网络 /
- 预测模型
Abstract: The paper put forward a prediction method of mine gas emission quantity with grey neural network, introduced modeling process of gas prediction model of grey neural network in details. It also gave an example of application. Simulation result showed that the model has some advantages such as high precision of prediction, few samples required and simple calculation.
- coal mine /
- gas emission quantity /
- grey neural network /
- prediction model