Automated spectroscopic modelling with optimised convolutional neural networks

Zefang Shen & R. A. Viscarra Rossel

Scientific Reports



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.