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

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

Accurate and fast determination of blood component concentration is very essential for the efficient diagnosis of patients. This paper proposes a nonlinear regression method with high-dimensional space mapping for blood component spectral quantitative analysis. Kernels are introduced to map the inpu...

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Bibliographic Details
Main Authors:	Xiaoyan Ma, Yanbin Zhang, Hui Cao, Shiliang Zhang, Yan Zhou
Format:	Article
Language:	English
Published:	Hindawi Limited 2018-01-01
Series:	Journal of Spectroscopy
Online Access:	http://dx.doi.org/10.1155/2018/2689750

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