Quantitative analysis of spectral data based on stochastic configuration networks-Reference-Cited by-同舟云学术

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Quantitative analysis of spectral data based on stochastic configuration networks

Published:2024 Issue:28 Volume:16 Page:4794-4806
ISSN:1759-9660
Container-title:Analytical Methods
language:en
Short-container-title:Anal. Methods

Author:

Zhang Lixin¹²³^ORCID,Huang Zhensheng¹,Zhang Xiao²

Affiliation:

1. School of Mathematics and Statistics, Nanjing University of Science and Technology, Nanjing 210014, Jiangsu 210014, China

2. College of Information Engineering, Tarim University, Alar, Xinjiang 843300, China

3. Key Laboratory of Tarim Oasis Agriculture, Tarim University, Ministry of Education, China

Abstract

In quantitative analysis of spectral data, traditional linear models have fewer parameters and faster computation speed.

Funder

National Natural Science Foundation of China

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2024/AY/D4AY00656A

Reference37 articles.

1. Commentary on the review articles of spectroscopy technology combined with chemometrics in the last three years

2. Application of near-infrared spectroscopy to agriculture and forestry

3. An overview of near-infrared spectroscopy (NIRS) for the detection of insect pests in stored grains

4. Progress Toward Machine Learning Methodologies for Laser-Induced Breakdown Spectroscopy With an Emphasis on Soil Analysis

5. Advanced process analytical tools for identification of adulterants in edible oils – A review

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