Coal and Gas Outburst Risk Prediction and Management Based on WOA-ELM

A gas outburst risk level prediction method, based on the Whale Optimization Algorithm (WOA) Improved Extreme Learning Machine (ELM), is proposed to predict coal and hazard more accurately. Based this recommendations are given according with help of Case-Based Reasoning (CBR) method. Firstly, we analyze accident reports accidents, select index, construct index system by combining prevention control process. The WOA-ELM model was used selecting data from 150 2008 2021. Again, level, CBR match cases give corresponding suggestions for different levels conditions reduce risk. results show that algorithm has better performance faster convergence than ELM algorithm, when compared in terms accuracy error prediction. use manage can be helpful decision-makers.