机译:基于集合局部加权偏最小二乘的关键性能指标估计及其对工业非线性过程的应用
East China Univ Sci &
Technol Key Lab Adv Control &
Optimizat Chem Proc Minist Educ Shanghai 200237 Peoples R China;
East China Univ Sci &
Technol Key Lab Adv Control &
Optimizat Chem Proc Minist Educ Shanghai 200237 Peoples R China;
East China Univ Sci &
Technol Key Lab Adv Control &
Optimizat Chem Proc Minist Educ Shanghai 200237 Peoples R China;
East China Univ Sci &
Technol Key Lab Adv Control &
Optimizat Chem Proc Minist Educ Shanghai 200237 Peoples R China;
East China Univ Sci &
Technol Key Lab Adv Control &
Optimizat Chem Proc Minist Educ Shanghai 200237 Peoples R China;
East China Univ Sci &
Technol Key Lab Adv Control &
Optimizat Chem Proc Minist Educ Shanghai 200237 Peoples R China;
Locally weighted partial least squares; Soft sensors; Ensemble learning; Quality prediction; Catalytic reforming process;
机译:基于集合局部加权偏最小二乘的关键性能指标估计及其对工业非线性过程的应用
机译:基于本地加权概率内核的故障监控用于非线性时变过程的局部加权概率粒子最小二乘
机译:基于双局加权偏重量的工业过程测量的多变量回归模型
机译:基于局部加权内核的稀疏非线性特征,用于非线性时变过程的虚拟感测的虚拟感测的最小二乘
机译:比较两个估计程序(加权最小二乘法和广义估计方程)在分析带有时间嵌套的重复观测值时的性能
机译:基于局部加权偏最小二乘的缺失RRI插值算法用于精确心率变异性分析
机译:基于协方差的局部加权偏最小二乘用于高性能自适应建模
机译:使用加权非线性最小二乘法和最大似然估计法的ERs-1散射仪蒙特卡罗性能模拟比较