摘要
以新汶矿区协庄矿11煤层为研究对象,筛选出影响瓦斯含量的主要地质指标,利用自适应神经网络技术建立了瓦斯含量预测模型,结合实验数据,对预测模型进行训练、检验。结果表明:此方法可行,模型可靠,计算精度高,具有较大的实用价值。
The author, taking No.11 coal seam in Xiezhuang Mine of Xinwen Coal Mining Area as the study object, screened out the dominant geologic factors affecting gas content of the coal seam and set up a forecast model for gas content with auto-adaptive neural network technology. Training and test were also made on the forecast model with experimental data, and test results indicate that this method is feasible, the forecast model is reliable and has high computation accuracy and greater actual value to coal mines.
出处
《矿业安全与环保》
2003年第3期17-19,共3页
Mining Safety & Environmental Protection
