...
机译:伊朗北部哈拉兹河小流域洪灾敏感性模型的决策树算法比较评估
Department of Watershed Management Engineering, Faculty of Natural Resources, Sari Agricultural Science and Natural Resources University;
Geographic Information Science Research Group, Ton Duc Thang University,Faculty of Environment and Labour Safety, Ton Duc Thang University;
Departments of Watershed Sciences Engineering, Faculty of Natural Resources, University of Kurdistan;
Departments of Watershed Sciences Engineering, Faculty of Natural Resources, University of Kurdistan;
Departments of Geomorphology, Faculty of Natural Resources, University of Kurdistan;
Department of Mathematical Sciences and Technology, Norwegian University of Life Sciences;
Department of Science & Technology, Bhaskarcharya Institute for Space Applications and Geo-Informatics (BISAG), Government of Gujarat;
Geographic Information System Group, Department of Business and IT, University College of Southeast Norway;
Flood susceptibility assessment; Machine learning; Alternating Decision Trees; Logistic Model Trees; Reduced Error Pruning Trees; Naïve Bayes Trees;
机译:基于Bealghan流域倾斜决策树的基于集合随机森林的头部沟壑腐蚀敏感性建模
机译:基于GIS的滑坡敏感性模型:核逻辑回归,Naveve-Bayes树和交替决策树模型的比较评估
机译:基于GIS的洪水敏感性映射使用混合多标准决策方法,幼稚贝叶斯树,双龙统计和逻辑回归:面包盆,斯洛伐克的案例
机译:使用决策树类型模型(DTTM)和GIS评估水蚀季节变化(案例研究:伊朗阿尔达比勒的Barzand Chay分水岭)
机译:基于GIS的印第安纳州特雷霍特市城市暴洪风险评估和淹没模型
机译:使用深度学习交替决策树和遥感传感器提供的数据的闪光泛潜能映射
机译:闪光泛敏性模型采用混合和基于树的新方法的新方法 - 基于树的机器学习算法