Neural computational model GrowthEstimate: A model for studying living resources through digestive efficiency

The neural computational model GrowthEstimate is introduced with focusing on new perspectives for the practical estimation of weight specific growth rate (SGR, % day(–1)). It is developed using recurrent neural networks of reservoir computing type, for estimating SGR based on the known data of three...

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Detalles Bibliográficos
Autores principales: Rungruangsak-Torrissen, Krisna, Manoonpong, Poramate
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6713322/
https://www.ncbi.nlm.nih.gov/pubmed/31461459
http://dx.doi.org/10.1371/journal.pone.0216030

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6713322/
https://www.ncbi.nlm.nih.gov/pubmed/31461459
http://dx.doi.org/10.1371/journal.pone.0216030

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