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机译:采用人工神经网络预测多土分层(MSL)技术治疗农村家用废水总大肠菌浓度
Cadi Ayyad Univ Natl Ctr Studies & Res Water & Energy CNEREE POB 511 Marrakech 40000 Morocco|Cadi Ayyad Univ Fac Sci Semlalia Lab Water Biodivers & Climate Change Marrakech Morocco;
Cadi Ayyad Univ Natl Ctr Studies & Res Water & Energy CNEREE POB 511 Marrakech 40000 Morocco|Cadi Ayyad Univ Fac Sci Semlalia Lab Water Biodivers & Climate Change Marrakech Morocco;
Cadi Ayyad Univ Natl Ctr Studies & Res Water & Energy CNEREE POB 511 Marrakech 40000 Morocco;
Cadi Ayyad Univ Natl Ctr Studies & Res Water & Energy CNEREE POB 511 Marrakech 40000 Morocco;
Cadi Ayyad Univ Natl Ctr Studies & Res Water & Energy CNEREE POB 511 Marrakech 40000 Morocco|Cadi Ayyad Univ Fac Sci Semlalia Lab Water Biodivers & Climate Change Marrakech Morocco;
Feature selection; Total coliforms; Multi-soil-layering system; Neural network; Multiple linear regression;
机译:两级垂直流多土壤分层(MSL)技术可有效去除干旱气候下农村地区生活污水中的大肠菌和人类病原体
机译:人工神经网络的开发预测缺氧化膜生物反应器治疗国内废水的膜污染
机译:使用人工神经网络每日预测大肠菌群的总浓度
机译:来自三个废水处理设施的污水排放对地表水中总大肠菌群,大肠杆菌和雄性特定角鲨的浓度和存活率的影响
机译:检验使用人工神经网络对城市化流域中粪便指示生物浓度进行建模。
机译:厌氧和好氧反应器处理后的猪生产废水中总大肠菌群耐热大肠菌群和蠕虫卵的去除
机译:通过多土分层(MSL)系统从国内废水中除去细菌指标和病原体