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机译:通过人工神经网络对水污染物的TiO_2催化光降解速率常数的广义预测模型
Department of Civil and Environmental Engineering Case Western Reserve University 2104 Adelbert Road Cleveland OH 44106 USA;
Departments of Computer and Data Sciences and Electrical Computer and Systems Engineering Case Western Reserve University 2104 Adelbert Road Cleveland OH 44106 USA;
Department of Civil and Environmental Engineering Case Western Reserve University 2104 Adelbert Road Cleveland OH 44106 USA;
Department of Civil and Environmental Engineering Case Western Reserve University 2104 Adelbert Road Cleveland OH 44106 USA;
Department of Civil and Environmental Engineering Case Western Reserve University 2104 Adelbert Road Cleveland OH 44106 USA;
Department of Civil and Environmental Engineering Case Western Reserve University 2104 Adelbert Road Cleveland OH 44106 USA;
Department of Civil and Environmental Engineering Case Western Reserve University 2104 Adelbert Road Cleveland OH 44106 USA;
Department of Civil and Environmental Engineering Case Western Reserve University 2104 Adelbert Road Cleveland OH 44106 USA Departments of Computer and Data Sciences and Electrical Computer and Systems Engineering Case Western Reserve University 2104 Adelbert Road Cleveland OH 44106 USA;
Photo-degradation of water contaminants; Titanium dioxide; Artificial neural network; Machine learning; Molecular fingerprint; Reaction rate constant;
机译:结合分子指纹(DNN-MF)的深层神经网络为水污染物的羟基自由基速率常数建立预测模型
机译:人工神经网络模型在预测芳族含硫化合物生物降解速率常数中的应用
机译:使用人工神经网络预测市政饮用水纳滤过程中的污染物去除
机译:基于基准仿真模型No.1的PID人工神经网络建模和可预测污水处理厂模型
机译:利用人工神经网络和三维有限元策略对地表水和地下水进行综合建模。
机译:利用广义可加模型人工神经网络和季节性自回归综合移动平均模型对圣保罗市的登革热进行预测
机译:通过人工神经网络对水污染物的TiO2催化光降解速率常数的广义预测模型