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机译:沟蚀模型的个体和整体数据挖掘技术的性能评估
Department of Natural Resources and Environmental Engineering College of Agriculture, Shiraz University, Shiraz, Iran;
Department of Watershed Management Engineering, Faculty of Natural Resources, Tarbiat Modares University, Iran;
Department of Watershed Management Engineering, Gorgon University of Agricultural Sciences and Natural Resources, Corgan, Iran;
Soil Erosion and Degradation Research Croup, Departament de Ceografia, Universitat de Valencia, Blasco lbaHez 28,46010 Valencia Spain;
MaxEnt; SVM; ANN; Goodness-of-fit; Prediction power; Robustness; Vulnerability;
机译:评价不同促进集合机器学习模型和新型深度学习,促进头部沟壑腐蚀易感性的促进框架
机译:印度桥梁盆地桥梁盆地熵概要和熵熵率新集合的建模沟壑
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:利用摄影测量技术评估黄土高原半干旱流域的沟壑侵蚀
机译:对河流动力涡轮机的研究:性能增强,涡轮机建模技术以及湍流模型评估。
机译:脑18F-FDG-PET扫描分类的个人和合奏CNN模型的性能比较
机译:基于人工智能基于沟壑腐蚀易感性评估的组合模型的实现