The Study Of Evaluation And Prediction On The Governance Capability For Safety Hidden Danger Of Coal Mine

In this paper, the main research object is the hidden enterprise production dangers and theevaluating and forecasting methods are the key points. The researches consist of three parts. Inthe first part, the paper designs an evaluating indicator system, and proposes a capabilitymaturity model to evaluate the hidden danger governance of enterprise based on Expert GroupAssessment and the self-organize feature map (SOFM) algorithm. In addition, a self-evaluatingmodel is put forward based on the information entropy theory. In the second part, a frequencydivision curve fitting algorithm that is a multiple regression analysis method for univariate isproposed. The algorithm is used to forecast the development trend of the hidden dangergovernance. In the last part, the paper mainly study the relationship between the evaluatingindicator system and the development trend of the hidden danger, and bring forward a novelonline sequence extreme learning machine with gradual forgetting mechanisms. All researchingachievement is tested to analysis their effectiveness, and the sample data is mainly collected fromthe coal mine enterprises.