Prediction of gas emission based on GM(1, N)_GRNN combined model
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Abstract
In order to solve the problems that there are many influencing factors of gas emission, it is difficult to accurately predict the problems.In this paper, we use multivariable gray system to deal with irregular data.The GRNN neural network model has the advantages of fast training speed and low human intervention.The model of the 1 order N variable grey model and the GRNN neural network embedded model GM(1, N)_GRNN were established.The model is used to predict the gas emission from a coal mining face and compared with the GM(1, N) model and GRNN model alone.It is found that the average error of the combined model is only 3.7%, which is better than the average error of the two models.Therefore, the safety of coal production has important guiding significance.
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