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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2019
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| 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 |