Spectroscopic profiling-based geographic herb identification by neural network with random weights-Reference-Cited by-同舟云学术

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Spectroscopic profiling-based geographic herb identification by neural network with random weights

Published:2022-10 Issue: Volume:278 Page:121348
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:

Zhang Yinsheng,Ma Wenhao,Hou Ruiqi,Rong Dian,Qin Xiaolin,Cheng Yongbo,Wang Haiyan

Funder

China Scholarship Council

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Spectroscopy,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference28 articles.

1. The formation of daodi medicinal materials;Zhao;J. Ethnopharmacol.,2012

2. Raman spectroscopy in quality control of Chinese herbal medicine;Chen;J. Chin. Med. Assoc.,2017

3. Identification of Chinese medicinal fungus Cordyceps sinensis by depth-profiling mid-infrared photoacoustic spectroscopy;Du;Spectrochim. Acta Part A Mol. Biomol. Spectrosc.,2017

4. A review on neural networks with random weights;Cao;Neurocomputing,2018

5. A survey of randomized algorithms for training neural networks;Zhang;Inf. Sci.,2016

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