DEEP NEURAL NETWORKS APPLICATIONS IN THE STUDY OF A GEOLOGICAL INDICATOR
| Autor: | Kremena Arsova–Borisova, Veselin Hristov |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | Sustainable Extraction and Processing of Raw Materials Journal, Vol 2, Iss 2, Pp 25-27 (2021) |
| Druh dokumentu: | article |
| ISSN: | 2738-7100 2738-7151 |
| DOI: | 10.5281/zenodo.5594817 |
| Popis: | ABSTRACT. The differences between shallow neural networks and deep neural networks are considered. Data from operational exploration of an open pit mine are used to train different types of deep neural networks to predict a useful indicator. The results of deep network training are compared both with each other and with previous results obtained from the training of shallow neural networks. The errors in training and testing of the models according to the number of layers and nodes in the networks are analysed. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
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