Weight interpretation of artificial neural network model for analysis of rice (Oryza sativa L.) with near-infrared spectroscopy

Prediction models for major nutrients of rice were built using near-infrared (NIR) spectral data based on the artificial neural network (ANN). Scientific interpretation of the weight values was proposed and performed to understand the wavenumbers contributing to the prediction of nutrients. NIR spec...

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Detalles Bibliográficos
Autores principales: Son, Seungwoo, Kim, Donghwi, Choul Choi, Myoung, Lee, Joonhee, Kim, Byungjoo, Min Choi, Chang, Kim, Sunghwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9532771/
https://www.ncbi.nlm.nih.gov/pubmed/36211751
http://dx.doi.org/10.1016/j.fochx.2022.100430

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9532771/
https://www.ncbi.nlm.nih.gov/pubmed/36211751
http://dx.doi.org/10.1016/j.fochx.2022.100430

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