Application of artificial neural network model to safety assessment for coal mine

Based on artificial neural network theory, the complexity of safety assessment system is analyzed and the assessment index of coal mine safety is confirmed. A neural network model with multi-hierarchic structure was built based on error back-propagation (BP) algorithm. The conjunction weights of the neural network are continuously modified layer by layer from output layer to input layer in the process of neural network training to reduce the errors between the anticipated and actual outputs. A case study was conducted and it verified the validity and accuracy of the proposed method. The method used in coal mine safety production assessment preventing from in the past with level analytic approach and fuzzy to judge the deficiency that law brought synthetically, make coal mine more perfect in safety assessment.