Feed-forward neural network model for hunger and satiety related VAS score prediction

BACKGROUND: An artificial neural network approach was chosen to model the outcome of the complex signaling pathways in the gastro-intestinal tract and other peripheral organs that eventually produce the satiety feeling in the brain upon feeding. METHODS: A multilayer feed-forward neural network was...

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Detalles Bibliográficos
Autores principales: Krishnan, Shaji, Hendriks, Henk F. J., Hartvigsen, Merete L., de Graaf, Albert A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4936290/
https://www.ncbi.nlm.nih.gov/pubmed/27387922
http://dx.doi.org/10.1186/s12976-016-0043-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4936290/
https://www.ncbi.nlm.nih.gov/pubmed/27387922
http://dx.doi.org/10.1186/s12976-016-0043-4

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