Coal and gas outburst prediction method based on logistic regression and reinforcement learning

• Main Authors: XU YAOSONG, YAN XIN, ZHU YONGHAO, WU SHUWEN, TU NAIWEI, FU HUA
• Format: Patent
• Language: Chinese; English
• Published: 28.04.2020
• Subjects: CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; HANDLING RECORD CARRIERS; PHYSICS; PRESENTATION OF DATA; RECOGNITION OF DATA; RECORD CARRIERS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention discloses a coal and gas outburst prediction method based on logistic regression and reinforcement learning, and belongs to the technical field of dynamic prediction. The method comprises: fusing LR and Adaboost reinforcement learning to design a coal and gas outburst prediction model; collecting a plurality of influence factor data samples of coal and gas outburst; training a coal and gas outburst prediction model based on an LR and Adaboost fusion model; and, in the real-time monitoring process of coal and gas outburst disasters, if the prediction result of the coal and gas outburst is inconsistent with the feedback actual result, updating the sample data by using the real-time data and the corresponding actual result, and training and learning the coal and gas outburst prediction model based on the LR and Adaboost fusion model again to complete correction of the coal and gas outburst prediction model. The method provided by the invention can realize rapid, accurate anddynamic prediction of co