Estimation of diffusion coefficients from voltammetric signals by support vector and gaussian process regression

BACKGROUND: Support vector regression (SVR) and Gaussian process regression (GPR) were used for the analysis of electroanalytical experimental data to estimate diffusion coefficients. RESULTS: For simulated cyclic voltammograms based on the EC, E(qr), and E(qr)C mechanisms these regression algorithm...

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Detalles Bibliográficos
Autores principales: Bogdan, Martin, Brugger, Dominik, Rosenstiel, Wolfgang, Speiser, Bernd
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4074154/
https://www.ncbi.nlm.nih.gov/pubmed/24987463
http://dx.doi.org/10.1186/1758-2946-6-30

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4074154/
https://www.ncbi.nlm.nih.gov/pubmed/24987463
http://dx.doi.org/10.1186/1758-2946-6-30

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