Nonlinear Regression with High-Dimensional Space Mapping for Blood Component Spectral Quantitative Analysis

Figure 2

The influence of and kernel parameter on the MSECV of different kernels for KPLS on UA dataset. (a) The influence of and kernel parameter on the MSECV of PLS. (b–f) The penalty constant and kernel parameter curves of GKPLS, PKPLS, IMKPLS, SLKPLS, EKPLS, RKPLS, and KKPLS.

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