Characteristic wavelength optimization for partial least squares regression using improved flower pollination algorithm.

Ong, Pauline; Jian, Jinbao; Yin, Jianghua; Ma, Guodong

Ong, Pauline; Jian, Jinbao; Yin, Jianghua; Ma, Guodong.

Afiliación

Ong P; College of Mathematics and Physics, Center for Applied Mathematics of Guangxi, Guangxi Minzu University, Nanning 530006, China; Faculty of Mechanical and Manufacturing Engineering, Universiti Tun Hussein Onn Malaysia, 86400 Parit Raja, Batu Pahat, Johor, Malaysia. Electronic address: ongp@uthm.edu.m
Jian J; College of Mathematics and Physics, Center for Applied Mathematics of Guangxi, Guangxi Minzu University, Nanning 530006, China; Guangxi Key Laboratory of Hybrid Computation and IC Design Analysis, Guangxi Minzu University, Nanning 530006, China. Electronic address: jianjb@gxu.edu.cn.
Yin J; College of Mathematics and Physics, Center for Applied Mathematics of Guangxi, Guangxi Minzu University, Nanning 530006, China. Electronic address: jianghuayin1017@126.com.
Ma G; College of Mathematics and Physics, Center for Applied Mathematics of Guangxi, Guangxi Minzu University, Nanning 530006, China. Electronic address: mgd2006@163.com.

Spectrochim Acta A Mol Biomol Spectrosc ; 302: 123095, 2023 Dec 05.

Article en En | MEDLINE | ID: mdl-37451211

Palabras clave

Flower pollination algorithm; Near-infrared spectroscopy; Partial least squares regression; Wavelength selection

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Spectrochim Acta A Mol Biomol Spectrosc Asunto de la revista: BIOLOGIA MOLECULAR Año: 2023 Tipo del documento: Article Pais de publicación: Reino Unido

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