Study on Trend Estimate of the Mine Gas Based on the Immune Algorithm Neural Network
It combine Immune Algorithm with neural network theory,A Immune Algorithm neural network model for predicting mine gas is presented . First of allthe network is trained by history datethen the model is used to predict the development trend of mine gasfinally the mine gas is predicted. The experimental results show that the Immune Algorithm neural network model can predict variety rule of mine gas better and has higher accuracy than that of neural network. It enlarges the applied scope of Immune Algorithm neural network modeland provides a new scientific method for predicting mine gas.
Zhijie Wang
School of Electrical Engineering Shanghai dianji University Shanghai, P. R. China 200240
国际会议
南宁
英文
2007-07-20（万方平台首次上网日期，不代表论文的发表时间）