摘要
准确、及时地预测瓦斯涌出量是煤矿安全的主要研究方向之一。本文建立了基于模糊粗糙集的神经网络预测模型,对瓦斯涌出量进行了预测。仿真结果表明,该模型的收敛性和预测的准确性,都取得了满意的结果。
Precisely predicting the amount of gas emitted from the coal is of great importance for coal safety. A novel artificial network model based on fuzzy-rough set for gas emission forecasting of coal is proposed in the paper. Some practices prove that this model can perform better than the tradition neural network.
出处
《微计算机信息》
北大核心
2007年第03Z期259-261,共3页
Control & Automation
基金
国家863计划资助项目(2002AA134020)
关键词
瓦斯量预测
模糊粗糙集
神经网络
gas emission prediction,fuzzy-rough set, neural network