机译:使用基于双层GA的选择性集成核偏最小二乘算法对共线数据建模
Nanjing Univ Informat Sci & Technol, Sch Comp & Software, Nanjing 210044, Jiangsu, Peoples R China|Northeaster Univ, State Key Lab Synthet Automat Proc Ind, Shenyang 110004, Peoples R China|Beijing Univ Technol, Dept Informat, Beijing 100124, Peoples R China;
Nanjing Univ Informat Sci & Technol, Sch Comp & Software, Nanjing 210044, Jiangsu, Peoples R China;
Northeaster Univ, State Key Lab Synthet Automat Proc Ind, Shenyang 110004, Peoples R China;
Northeaster Univ, State Key Lab Synthet Automat Proc Ind, Shenyang 110004, Peoples R China;
Northeaster Univ, State Key Lab Synthet Automat Proc Ind, Shenyang 110004, Peoples R China;
CINVESTAV IPN Natl Polytech Inst, Dept Automat Control, Mexico City 07360, DF, Mexico;
Collinear and nonlinear data modeling; Latent variable (LV); Selective ensemble learning; Double-layer genetic algorithm (DLGA) optimization; Kernel partial least squares (KPLS);
机译:基于局部最小二乘模型的选择性集成的化学过程质量预测的自适应软传感器
机译:使用修正的核偏最小二乘法进行多元数据建模
机译:使用修改后的内核偏最小二乘法进行过程数据建模
机译:基于双层遗传算法优化的选择性集成核偏最小二乘方法及其应用
机译:用于科学数据挖掘的内核偏最小二乘(K-PLS)。
机译:基于核偏最小二乘的计算机模拟筛选烟碱衍生物作为细胞色素P450 2A6选择性抑制剂
机译:基于小波分析和核偏最小二乘算法的质谱数据对前列腺癌的分类
机译:再生核Hilbert空间中的核偏最小二乘回归