1.
Predicting Model of Gas Content Based on Improved BP Neural Network
基于改进BP神经网络的瓦斯含量预测模型
2.
BP model of gas content prediction based on quantitative assessment of geological structure complexity
基于构造复杂程度定量评价的瓦斯含量预测BP模型
3.
Forecasting in-situ gas content using geological factors based on particle swarm optimization and least square support vector machine
基于粒子群最小二乘支持向量机的瓦斯含量预测
4.
Mathematical geology technique and method for prediction of gas content and emission
瓦斯含量及涌出量预测的数学地质技术与方法
5.
Energy Releasing Process and Noncontact Prediction of Coal and Gas Outburst
含瓦斯煤突出的能量耗散过程及非接触预测
6.
Prediction on Gas Emission and Gas Drainage base on Elevation
根据标高预测瓦斯涌出量和瓦斯抽放
7.
Application of Gas Geology Qualification Technology in the Prediction of Gas Emission
瓦斯地质量化技术在瓦斯涌出预测中应用
8.
The Research and Application of Forecasting Working Face Gas Emission;
工作面瓦斯涌出量预测的研究与应用
9.
Research on Prediction Technology of Gas Emission in Zhaoguan Mine
赵官煤矿瓦斯涌出量的预测技术研究
10.
Gas Emission Forecast Based on Wavelet Transform and Genetic-Least Square Support Vector Machine
基于WT与GALSSVM的瓦斯涌出量预测
11.
Forecasting Amount of Gas Emission Using Gaussian Process Machine Learning Model
瓦斯涌出量预测的高斯过程机器学习模型
12.
The Study of the Prediction of the Amount of the GAS Emission and Its Influencing Factors in Liyazhuang Coal Mine;
李雅庄煤矿瓦斯涌出量预测及瓦斯涌出影响因素的研究
13.
The Law of Gas Emission for the Full-Mechanized Mining Working Face and the Prediction of the Gas Emission Quantity;
综采工作面的瓦斯涌出规律及瓦斯涌出量的预测
14.
Study on the Gas Emission Quantity Prediction and the Gas Migeration Law of the Fully-Mechanized Face
综采工作面瓦斯涌出量的预测及瓦斯运移规律的研究
15.
Prediction of coal and gas outbursts based on soft sensor and data fusion technologies
基于软测量和数据融合的煤与瓦斯突出预测
16.
Prediction model of support vector machine for gas emission quantity of fully mechanized roadway driving face
综掘工作面瓦斯涌出量的支持向量机预测模型
17.
Forecasting gas pushing based on intelligent support vector regression
基于智能支持向量回归的瓦斯涌出量预测
18.
Research on Influencing Factors of the Gas Content in the Coal Bed with the Method of Desorption
解吸法测定煤层瓦斯含量的影响因素研究