机译:利用机器学习方法预测臭氧曝光和微拷贝分析
School of Chemical and Biological Engineering Institute of Chemical Process (ICP) Seoul National University Seoul 08826 Republic of Korea;
School of Urban and Environmental Engineering Ulsan National Institute of Science and Technology (UNIST) Ulsan 44919 Republic of Korea;
School of Chemical and Biological Engineering Institute of Chemical Process (ICP) Seoul National University Seoul 08826 Republic of Korea Department of Chemical and Environmental Engineering Yale University New Haven Connecticut 06520 United States;
School of Chemical and Biological Engineering Institute of Chemical Process (ICP) Seoul National University Seoul 08826 Republic of Korea;
Water Cycle Research Center Korea Institute of Science and Technology (KIST) Seoul 02792 Republic of Korea;
School of Urban and Environmental Engineering Ulsan National Institute of Science and Technology (UNIST) Ulsan 44919 Republic of Korea;
School of Chemical and Biological Engineering Institute of Chemical Process (ICP) Seoul National University Seoul 08826 Republic of Korea;
机译:臭氧分解过程中臭氧分解,氧化剂暴露和微污染物消除的建模
机译:化学动力学模型预测均相催化臭氧氧化过程中微污染物的消除
机译:使用小波变换和局部最小二乘法通过支持向量机和内核极端学习机预测臭氧每小时浓度
机译:古典和机器学习方法对日常臭氧浓度的时空建模的比较
机译:通过具有机器学习和深度学习的替代模型快速进行超音速流预测的方法
机译:遗传因素在克罗恩病患者肠道外表现特征中的作用:贝叶斯机器学习方法是否可以改善结果预测?
机译:利用机器学习方法预测臭氧曝光和微拷贝分析
机译:复杂光化学模型评价简单氧化剂预测方法:聚类分析在城市臭氧特征评价中的应用