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机译:基于偏最小二乘回归的GC-MS光谱预测淮河流域高发地区复杂混合物的细胞毒性
Key Laboratory of Public Health and Safety, Ministry of Education, Department of Environmental Health, School of Public Health, Fudan University, Yi Xue Yuan Road 138, Shanghai 200032, China;
Key Laboratory of Public Health and Safety, Ministry of Education, Department of Environmental Health, School of Public Health, Fudan University, Yi Xue Yuan Road 138, Shanghai 200032, China;
Key Laboratory of the Public Health Safety, Ministry of Education, Department of Nutrition and Food Hygiene, Fudan University, Shanghai 200032, China;
Chinese Center for Disease Control and Prevention, Nan Wei Road 29, Beijing 100050, China;
Institute for Chemical Safety Sciences, The Hamner Institutes for Health Sciences, Research Triangle Park, NC 27709, USA;
Key Laboratory of the Public Health Safety, Ministry of Education, Department of Childhood and Adolescent, Fudan University, Shanghai 200032, China;
Key Laboratory of Public Health and Safety, Ministry of Education, Department of Environmental Health, School of Public Health, Fudan University, Yi Xue Yuan Road 138, Shanghai 200032, China;
Cytotoxicity; Mixture toxicology; Partial least squares; Regression; Water;
机译:淮河流域癌症高发地区地表水和地下水中溶解的微囊藻毒素
机译:使用牛奶线性傅立叶变换红外光谱,牛奶成分和生产者报告的变量进行多元线性回归,偏最小二乘回归和人工神经网络预测血液对羟基丁酸酯
机译:通过复杂混合物的通用模拟比较主成分回归和偏最小二乘回归
机译:基于源极最小二乘(PLS)回归分析的NMR渗透模型在Santos盆地中低渗透气体砂的回归分析
机译:用复杂混合物模拟研究主成分回归和偏最小二乘回归的性能
机译:评估和预测各种气候变化情景下的水资源脆弱性 - 以黄淮海河流域为例
机译:图6:Boxpots比较了偏最小二乘回归(PLSR)和立体师回归树模型的性能在使用各种校准采样大小和区域数据集中的采样算法预测土壤属性中的性能。