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

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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Bibliographic Details
Main Authors: Seungwoo Son, Donghwi Kim, Myoung Choul Choi, Joonhee Lee, Byungjoo Kim, Chang Min Choi, Sunghwan Kim
Format: Article
Language:English
Published: Elsevier 2022-10-01
Series:Food Chemistry: X
Subjects:
Artificial neural network
Prediction model
Rice
Nutrients
Near-infrared spectroscopy
Partial least squares
Online Access:http://www.sciencedirect.com/science/article/pii/S2590157522002280

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http://www.sciencedirect.com/science/article/pii/S2590157522002280

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