Predicting In Vitro Rumen VFA Production Using CNCPS Carbohydrate Fractions with Multiple Linear Models and Artificial Neural Networks

The objectives of this trial were to develop multiple linear regression (MLR) models and three-layer Levenberg-Marquardt back propagation (BP3) neural network models using the Cornell Net Carbohydrate and Protein System (CNCPS) carbohydrate fractions as dietary variables for predicting in vitro rume...

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Detalles Bibliográficos
Autores principales: Dong, Ruilan, Zhao, Guangyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4281202/
https://www.ncbi.nlm.nih.gov/pubmed/25551220
http://dx.doi.org/10.1371/journal.pone.0116290

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4281202/
https://www.ncbi.nlm.nih.gov/pubmed/25551220
http://dx.doi.org/10.1371/journal.pone.0116290

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