An analysis of mixtures using amperometric biosensors and artificial neural networks

DOI10.1023/B:JOMC.0000044225.76158.8EzbMath1053.92024OpenAlexW1967304096MaRDI QIDQ703972

P. Vaitkus, R. Maslovskis, Romas Baronas, Feliksas Ivanauskas

Publication date: 12 January 2005

Published in: Journal of Mathematical Chemistry (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1023/b:jomc.0000044225.76158.8e

zbMATH Keywords

modellingneural networkbiosensorReaction-diffusion

Mathematics Subject Classification ID

Factor analysis and principal components; correspondence analysis (62H25) Neural networks for/in biological studies, artificial life and related topics (92B20) Applications of statistics (62P99) PDEs in connection with biology, chemistry and other natural sciences (35Q92) Kinetics in biochemical problems (pharmacokinetics, enzyme kinetics, etc.) (92C45)

Related Items (2)

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

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