机译:应用遗传算法建立森林火灾相关变量的最优组合,并基于数据挖掘模型对森林火灾敏感性进行建模。中国大禹县
Key Laboratory of Active Tectonics and Volcano, Institute of Geology, China Earthquake Administration,Key Laboratory of Virtual Geographic Environment (Nanjing Normal University), Ministry of Education,Jiangsu Center for Collaborative Innovation in Geographic Information Resource Development and Application,State Key Laboratory Cultivation Base of Geographical Environment Evolution (Jiangsu Province);
National Technical University of Athens, School of Mining and Metallurgical Engineering, Department of Geological Sciences, Laboratory of Engineering Geology and Hydrogeology;
National Technical University of Athens, School of Mining and Metallurgical Engineering, Department of Geological Sciences, Laboratory of Engineering Geology and Hydrogeology;
Key Laboratory of Virtual Geographic Environment (Nanjing Normal University), Ministry of Education,Jiangsu Center for Collaborative Innovation in Geographic Information Resource Development and Application,State Key Laboratory Cultivation Base of Geographical Environment Evolution (Jiangsu Province);
Key Laboratory of Virtual Geographic Environment (Nanjing Normal University), Ministry of Education,Jiangsu Center for Collaborative Innovation in Geographic Information Resource Development and Application,State Key Laboratory Cultivation Base of Geographical Environment Evolution (Jiangsu Province);
Key Laboratory of Active Tectonics and Volcano, Institute of Geology, China Earthquake Administration;
Forest fire susceptibility; Genetic algorithm; Random Forest; Support vector machine; China;
机译:基于气象变量的森林火灾模式聚类及其混合数据挖掘方法分类
机译:中国联华县滑坡敏感性评估:随机森林数据挖掘技术与双变量和多变量统计模型的比较
机译:使用不同数据挖掘技术的影响森林火灾的一般指标及其敏感性建模的研究
机译:应用动态数据驱动的遗传算法改善森林火灾蔓延预测
机译:大火灾对中国历史重建与景观建模的未来预测的影响
机译:支持环境控制的中国平均森林火灾次数和平均燃烧面积特征的数据(1987-2007年)
机译:基于机器学习模型的森林火灾敏感性预测遥感数据的重新采样算法