Locally weighted kernel partial least squares regression based on sparse nonlinear features for virtual sensing of nonlinear time-varying processes

Xinmin Zhang, Manabu Kano, Yuan Li. Locally weighted kernel partial least squares regression based on sparse nonlinear features for virtual sensing of nonlinear time-varying processes. Computers & Chemical Engineering, 104:164-171, 2017. [doi]

@article{ZhangKL17-0,
  title = {Locally weighted kernel partial least squares regression based on sparse nonlinear features for virtual sensing of nonlinear time-varying processes},
  author = {Xinmin Zhang and Manabu Kano and Yuan Li},
  year = {2017},
  doi = {10.1016/j.compchemeng.2017.04.014},
  url = {https://doi.org/10.1016/j.compchemeng.2017.04.014},
  researchr = {https://researchr.org/publication/ZhangKL17-0},
  cites = {0},
  citedby = {0},
  journal = {Computers & Chemical Engineering},
  volume = {104},
  pages = {164-171},
}