摘要
煤矿设计和开采受瓦斯涌出量的影响。由于地质条件不同,瓦斯涌出量也各有不同,传统方法预测瓦斯涌出量精确性很低。文章首先对灰色神经网络预测的现状做出介绍,然后分别介绍了灰色系统和神经网络的模型,最后结合灰色神经网络模型对煤矿瓦斯涌出量的应用实例做出分析。研究表明,灰色神经网络算法有很大的应用前景和推广价值。
The design and mining of coal mines are influenced by the gas emission. Due to the different geological conditions, the gas emission is also different. The traditional methed of predicting the amot/nt of gas emission has very low accuracy. In the paper, the present situation of the grey neural network is introduced, and then the gray system and the neural network model are introduced. Based on the grey neural network model, the useful examples of the coal mine gas emission is analyzed. The research shows that the gray neural network algorithm has great prospect in application and dissemination value.
出处
《煤炭技术》
CAS
北大核心
2012年第11期54-56,共3页
Coal Technology
