Prediction of Gas Emission Based on the Opposite Degree Algorithm

In order to reduce the hazard of coal mine gas disaster, it is very important to predict the quantity of gas emission. In order to improve the prediction accuracy, the contrast algorithm was applied to the actual case, and compared with other prediction algorithms. Based on the basic principle of opposite degree algorithm, opposite degree algorithm numerical operators were constructed. Through the introduction of coal mine gas data, the gas emission was predicted; and the prediction results were compared under the same conditions with other classical methods. The comparison results show that the average relative error of the algorithm is less than other classical methods, and the minimum error is less than 1%. Therefore, the application of the algorithm can be applied to the prediction of gas emission, which can improve the prediction accuracy.