Detection of moisture content of polyester fabric based on hyperspectral imaging and BP neural network-Reference-Cited by-同舟云学术

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Detection of moisture content of polyester fabric based on hyperspectral imaging and BP neural network

Published:2024-11 Issue: Volume:321 Page:124678
ISSN:1386-1425
Container-title:Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
language:en
Short-container-title:Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy

Author:

Jin Xiaoke,He Haonan^ORCID,Ming Lin,Jiang Jingjing,Qi Xintao,Zhu Chengyan

Publisher

Elsevier BV

Reference20 articles.

1. Advance in research on moisture content measuring method for textiles;Qi;Mod. Text. Technol.,2020

2. Study and Application on Water Test Method of Textile Fiber;Wang,2007

3. Development and application of resistance moisture regain measuring meter;Xiang;J. Text. Res.,2014

4. Evaluation of cut alfalfa moisture content and operative conditions by hyperspectral imaging combined with chemometric tools: in-field application;Cevoli;Biosyst. Eng.,2022

5. Rapid estimation of moisture content in unpeeled potato tubers using hyperspectral imaging;Muruganantham;Appl. Sci.,2023

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Application of neural network adaptive filter method to simultaneous detection of polymetallic ions based on ultraviolet-visible spectroscopy;Frontiers in Chemistry;2024-09-05

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