Mechanism Model for Coal Mine Safety Resources and Safety Status Based on Support Vector Regression

Aiming at the strong nonlinear characteristic of safety resources and safety status in coal mine, this article divided the levels of coal safety resources and safety status, decided the sets of input vectors and output vectors and then established a mechanism model of safety resources and safety status based on SVR. It respectively used grid searching algorithm and particle swarm optimization to optimize model parameters for the best SVR model. An example verified the validity and applicability of the model. The results showed that the model using PSO algorithm fitted better the nonlinear relationship between safety resources and safety status, and this model also had a stronger effectiveness and generalization ability.