Method for predicting and analyzing forest fire based on machine learning

• Main Authors: PENG YUQUAN, SHI YANYAN, DAI WEIXU, GUO JIANWEI
• Format: Patent
• Language: Chinese; English
• Published: 25.12.2020
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRIC DIGITAL DATA PROCESSING; 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 provides a method for predicting and analyzing forest fire based on machine learning, relates to the field of prediction and analysis, adopts multiple machine learning algorithms, predicts the forest fire probability through big data analysis, and effectively avoids the problems of too strong subjectivity, different evaluation standards and large evaluation result difference of a traditional evaluation method. 本发明提供了一种基于机器学习对森林火灾预测分析的方法，涉及预测分析领域，采用多种机器学习算法，通过大数据分析，预测森林火灾概率，有效避免了传统评估方法主观性过强、评估标准不一、评估结果差异大的问题。