A General Neural Network Model for Complex Refractive Index Extraction of Low-Loss Materials in the...
A General Neural Network Model for Complex Refractive Index Extraction of Low-Loss Materials in the Transmission-Mode THz-TDS
About this item
Full title
Author / Creator
Zhou, Zesen , Jia, Shanshan and Cao, Lei
Publisher
Basel: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Basel: MDPI AG
Subjects
More information
Scope and Contents
Contents
The complex refractive index for low-loss materials is conventionally extracted by either approximate analytical formula or numerical iterative algorithm (such as Nelder-Mead and Newton-Raphson) based on the transmission-mode terahertz time domain spectroscopy (THz-TDS). A novel 4-layer neural network model is proposed to obtain optical parameters...
Alternative Titles
Full title
A General Neural Network Model for Complex Refractive Index Extraction of Low-Loss Materials in the Transmission-Mode THz-TDS
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_f546a75ff816472980e4bec320c3e3f9
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f546a75ff816472980e4bec320c3e3f9
Other Identifiers
ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s22207877
