The classification of concentration of mixture of analytes using total principal component regression

Romas Baronas; Feliksas Ivanauskas; Robertas Paulauskas; Pranas Vaitkus

doi:10.15388/LMR.2005.29209

Articles

Romas Baronas

Vilnius University

Feliksas Ivanauskas

Vilnius University

Robertas Paulauskas

Vilnius University

Pranas Vaitkus

Vilnius University

Published 2005-12-18

https://doi.org/10.15388/LMR.2005.29209

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Keywords

total principal component regression
pseudo inversematrix

How to Cite

Baronas, R. (2005) “The classification of concentration of mixture of analytes using total principal component regression”, Lietuvos matematikos rinkinys, 45(spec.), pp. 454–458. doi:10.15388/LMR.2005.29209.

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Abstract

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.

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