Dynamic Nonlinear Partial Least Squares Modeling Using Gaussian Process Regression

By Hongbin Liu, Chong Yang, B. Carlsson, S. Qin, C. Yoo. Industrial & Engineering Chemistry Research, 2019

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A dynamic Gaussian process regression based partial least-squares (D-GPR-PLS) model is proposed to improve estimation ability and compared to the conventional nonlinear PLS. Considering the strong ...

Subfields: Analytical Chemistry, Control and Systems Engineering, Industrial and Manufacturing Engineering

View Paper: https://www.semanticscholar.org/paper/f6eaae1024af8d0add5679d215ab403c3c2feb31