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Automated spectroscopic modelling with optimised convolutional neural networks

Zefang Shen & R. A. Viscarra Rossel

Scientific Reports

2022

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.