Research on coal mine safety evaluation based on SCA-BP neural network

Traditional coal mine safety management methods often rely on manual experience, making it difficult to accurately predict potential safety risks and accidents. Therefore, how to achieve effective evaluation of coal mine safety through scientific methods has become a key issue in mine management. In this study, an improved BP neural network model (SCA-BP) using the Sine Cosine Algorithm (SCA) is proposed to evaluate and predict the safety of the coal industry. The results of training and simulation experiments of this model using MATLAB Neural Network Toolkit show that this model is highly practical and has good performance and can be widely used in the safety assessment process of coal industry.