A system approach to geodynamic zoning based on artificial neural networks
Methodological aspects of applying artificial neural networks for geodynamic zoning of territories when selecting locations for environmentally hazardous facilities (as exemplified by nuclear fuel cycle facilities) are considered. To overcome the uncertainty caused by complexity of the analysis of i...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
National University of Science and Technology MISiS
2018-09-01
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| Series: | Горные науки и технологии |
| Subjects: | |
| Online Access: | https://mst.misis.ru/jour/article/view/118 |