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...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | article |
| Language: | EN |
| Published: |
Nature Portfolio
2021
|
| Subjects: | |
| Online Access: | https://doaj.org/article/9041605288ac4d19a797da78cc01ff0b |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|