Applying artificial neural networks to solve the inverse problem of evaluating concentrations in multianalyte mixtures from biosensor signals

We investigate the ill-posedness of the inverse biosensor problem when the biosensor signals are corrupted by noise. To solve the problem, we employ feed-forward and convolutional neural networks. Computational experiments were performed with different levels of additive and multiplicative noises f...

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Bibliographic Details
Main Authors: Ignas Dapšys, Raimondas Čiegis, Vadimas Starikovičius
Format: Article
Language:English
Published: Vilnius University Press 2023-11-01
Series:Nonlinear Analysis
Subjects:
Online Access:https://www.zurnalai.vu.lt/nonlinear-analysis/article/view/33604
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