Coal Mine Safety Investment Prediction Based on Support Vector Machine

Presently, coal mine safety situation in China is still severe. One of the most important reasons is safety investment insufficient. Safety investment prediction can provide decision basis for efficient controlling and guiding safety investment. The paper analyzed coal mine safety investment influence factors and established coal mine safety investment prediction model based on Support Vector Machine. Finally, the paper adopted survey data of a mine in Huainan to exemplify and compare with traditional bp network, which proved the method feasibility and effectivity.