The First Attempt at Non-Linear in Silico Prediction of Sampling Rates for Polar Organic Chemical Integrative Samplers (POCIS)

[Image: see text] Modeling and prediction of polar organic chemical integrative sampler (POCIS) sampling rates (R(s)) for 73 compounds using artificial neural networks (ANNs) is presented for the first time. Two models were constructed: the first was developed ab initio using a genetic algorithm (GS...

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Detalles Bibliográficos
Autores principales: Miller, Thomas H., Baz-Lomba, Jose A., Harman, Christopher, Reid, Malcolm J., Owen, Stewart F., Bury, Nicolas R., Thomas, Kevin V., Barron, Leon P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2016
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5089532/
https://www.ncbi.nlm.nih.gov/pubmed/27363449
http://dx.doi.org/10.1021/acs.est.6b01407

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5089532/
https://www.ncbi.nlm.nih.gov/pubmed/27363449
http://dx.doi.org/10.1021/acs.est.6b01407

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