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机译:三峡库区预测富含富营养化的集合学习模型的性能
State Key Lab Simulat & Regulat Water Cycle River Beijing Peoples R China|China Inst Water Resources & Hydropower Res Dept Water Ecol & Environm Beijing Peoples R China;
State Key Lab Simulat & Regulat Water Cycle River Beijing Peoples R China|China Inst Water Resources & Hydropower Res Dept Water Ecol & Environm Beijing Peoples R China;
China Three Gorges Corp Yangtze River Ecoenvironm Engn Res Ctr Beijing 100089 Peoples R China;
Wuhan Univ Sch Resource & Environm Sci Wuhan 430079 Peoples R China;
State Key Lab Simulat & Regulat Water Cycle River Beijing Peoples R China|China Inst Water Resources & Hydropower Res Dept Water Ecol & Environm Beijing Peoples R China;
State Key Lab Simulat & Regulat Water Cycle River Beijing Peoples R China|China Inst Water Resources & Hydropower Res Dept Water Ecol & Environm Beijing Peoples R China;
State Key Lab Simulat & Regulat Water Cycle River Beijing Peoples R China|China Inst Water Resources & Hydropower Res Dept Water Ecol & Environm Beijing Peoples R China;
ensemble-learning models; eutrophication; gradient boosted decision trees; machine-learning models; random forests; Three Gorges Reservoir; Zhuyi Bay;
机译:改进模糊综合评判方法在三峡库区支流湾富营养化评估中的应用
机译:三峡水库湘西湾基于模拟的不精确机会约束非线性规划用于富营养化管理
机译:利用深度信仰网络和EWMA控制图建模与预测水库滑坡位移 - 以三峡库区为例
机译:湘西湾三峡库区藻类盛开的人工神经网络建模
机译:一种在自适应测试应用程序的背景下提高贝叶斯模型的预测性能的采样算法。
机译:三峡水库湘西湾甲烷形成与消耗过程
机译:贝叶斯分位数回归的表现及其在苏马西水库,东爪哇,印度尼西亚富营养化建模的应用