机译:基于变结构支持向量回归模型的城市日用水量动态预测
Chongqing Univ, Sch Urban Construct & Environm Engn, Chongqing 400044, Peoples R China;
Chongqing Univ, Sch Urban Construct & Environm Engn, Chongqing 400044, Peoples R China;
Chongqing Technol & Business Univ, Engn Lab Detect Control & Integrated Syst, Chongqing 400067, Peoples R China;
Chongqing Acad Sci & Technol, Testing Ctr Sci & Technol, Chongqing 401123, Peoples R China;
Chongqing Univ, Sch Urban Construct & Environm Engn, Chongqing 400044, Peoples R China;
Urban areas; Water use; Forecasting; Kalman filters; Water supply; Daily urban water consumption; Dynamic; Forecast; Extended Kalman filter; Variable-structure support vector regression;
机译:基于结构校正的支持向量回归方法的每日天然气消耗量预测
机译:城市日常用水需求预测的多尺度关联向量回归方法
机译:独特的支持向量回归,可改进铁路系统中短期汽油消耗的建模和预测
机译:基于支持向量机的城市用水量组合预测模型
机译:基础设施,水文学和政策:城市用水动态的社会水文模型。
机译:使用支持向量回归与混合物的电力消耗预测最大正管复合标准