Use of Artificial Neural Network Model for Rice Quality Prediction Based on Grain Physical Parameters

The main goal of this study was to test the ability of an artificial neural network (ANN) for rice quality prediction based on grain physical parameters and to conduct a comparison with multiple linear regression (MLR) using 66 samples in duplicate. The parameters used for rice quality prediction ar...

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Detalles Bibliográficos
Autores principales: Sampaio, Pedro Sousa, Almeida, Ana Sofia, Brites, Carla Moita
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8701132/
https://www.ncbi.nlm.nih.gov/pubmed/34945567
http://dx.doi.org/10.3390/foods10123016

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8701132/
https://www.ncbi.nlm.nih.gov/pubmed/34945567
http://dx.doi.org/10.3390/foods10123016

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