The classification of concentration of mixture of analytes using total principal component regression
In this paper total principal component regression is used for biosensors response to mixtures of compounds classification. The results are compared with the results obtained using artificial neural networks.
Saved in:
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Vilnius University Press
2005-12-01
|
Series: | Lietuvos Matematikos Rinkinys |
Subjects: | |
Online Access: | https://www.journals.vu.lt/LMR/article/view/29209 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1832593173014118400 |
---|---|
author | Romas Baronas Feliksas Ivanauskas Robertas Paulauskas Pranas Vaitkus |
author_facet | Romas Baronas Feliksas Ivanauskas Robertas Paulauskas Pranas Vaitkus |
author_sort | Romas Baronas |
collection | DOAJ |
description |
In this paper total principal component regression is used for biosensors response to mixtures of compounds classification. The results are compared with the results obtained using artificial neural networks.
|
format | Article |
id | doaj-art-18a97a474bfb4038942a511cc8ae0520 |
institution | Kabale University |
issn | 0132-2818 2335-898X |
language | English |
publishDate | 2005-12-01 |
publisher | Vilnius University Press |
record_format | Article |
series | Lietuvos Matematikos Rinkinys |
spelling | doaj-art-18a97a474bfb4038942a511cc8ae05202025-01-20T18:15:45ZengVilnius University PressLietuvos Matematikos Rinkinys0132-28182335-898X2005-12-0145spec.10.15388/LMR.2005.29209The classification of concentration of mixture of analytes using total principal component regressionRomas Baronas0Feliksas Ivanauskas1Robertas Paulauskas2Pranas Vaitkus3Vilnius UniversityVilnius UniversityVilnius UniversityVilnius University In this paper total principal component regression is used for biosensors response to mixtures of compounds classification. The results are compared with the results obtained using artificial neural networks. https://www.journals.vu.lt/LMR/article/view/29209total principal component regressionpseudo inversematrix |
spellingShingle | Romas Baronas Feliksas Ivanauskas Robertas Paulauskas Pranas Vaitkus The classification of concentration of mixture of analytes using total principal component regression Lietuvos Matematikos Rinkinys total principal component regression pseudo inversematrix |
title | The classification of concentration of mixture of analytes using total principal component regression |
title_full | The classification of concentration of mixture of analytes using total principal component regression |
title_fullStr | The classification of concentration of mixture of analytes using total principal component regression |
title_full_unstemmed | The classification of concentration of mixture of analytes using total principal component regression |
title_short | The classification of concentration of mixture of analytes using total principal component regression |
title_sort | classification of concentration of mixture of analytes using total principal component regression |
topic | total principal component regression pseudo inversematrix |
url | https://www.journals.vu.lt/LMR/article/view/29209 |
work_keys_str_mv | AT romasbaronas theclassificationofconcentrationofmixtureofanalytesusingtotalprincipalcomponentregression AT feliksasivanauskas theclassificationofconcentrationofmixtureofanalytesusingtotalprincipalcomponentregression AT robertaspaulauskas theclassificationofconcentrationofmixtureofanalytesusingtotalprincipalcomponentregression AT pranasvaitkus theclassificationofconcentrationofmixtureofanalytesusingtotalprincipalcomponentregression AT romasbaronas classificationofconcentrationofmixtureofanalytesusingtotalprincipalcomponentregression AT feliksasivanauskas classificationofconcentrationofmixtureofanalytesusingtotalprincipalcomponentregression AT robertaspaulauskas classificationofconcentrationofmixtureofanalytesusingtotalprincipalcomponentregression AT pranasvaitkus classificationofconcentrationofmixtureofanalytesusingtotalprincipalcomponentregression |