A 3D Fluorescence Classification and Component Prediction Method Based on VGG Convolutional Neural Network and PARAFAC Analysis Method

A 3D Fluorescence Classification and Component Prediction Method Based on VGG Convolutional Neural Network and PARAFAC Analysis Method

Three-dimensional fluorescence is currently studied by methods such as parallel factor analysis (PARAFAC), fluorescence regional integration (FRI), and principal component analysis (PCA). There are also many studies combining convolutional neural networks at present, but there is no one method recog...

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Bibliographic Details
Main Authors: Kun Ruan, Shun Zhao, Xueqin Jiang, Yixuan Li, Jianbo Fei, Dinghua Ou, Qiang Tang, Zhiwei Lu, Tao Liu, Jianguo Xia
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Applied Sciences
Subjects:
3D fluorescence
3D-EEMs
deep learning
convolutional neural network
PARAFAC analysis
VGG neural network
Online Access:https://www.mdpi.com/2076-3417/12/10/4886

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