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

Figure 3

The influence of penalty constant and kernel parameter on the MSECV of different kernels for SVR on UA dataset. (a) The influence of penalty constant and nonsensitive loss on the MSECV of LinearSVR. (b–f) The penalty constant and kernel parameter curves of GSVR, PSVR, IMSVR, SLSVR, ESVR, RSVR, and KSVR.

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