Automated spectroscopic modelling with optimised convolutional neural networks

Abstract Convolutional neural networks (CNN) for spectroscopic modelling are currently tuned manually, and the effects of their hyperparameters are not analysed. These can result in sub-optimal models. Here, we propose an approach to tune one-dimensional CNN (1D-CNNs) automatically. It consists of a...

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Bibliographic Details
Main Authors: Zefang Shen, R. A. Viscarra Rossel
Format: article
Language:EN
Published: Nature Portfolio 2021
Subjects:
R
Q
Online Access:https://doaj.org/article/9041605288ac4d19a797da78cc01ff0b
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