Application of machine learning methods to restore size-sex composition in catches of snow crab
Impact of environmental conditions on spatial distribution of size-sex groups is described statistically for snow crab Chionoecetes opilio. Based on the relationships identified, absolute values of catches are calculated for each such group. Machine learning approach is implemented for the feature e...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | Russian |
| Published: |
Transactions of the Pacific Research Institute of Fisheries and Oceanography
2024-12-01
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| Series: | Известия ТИНРО |
| Subjects: | |
| Online Access: | https://izvestiya.tinro-center.ru/jour/article/view/1008 |
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| Summary: | Impact of environmental conditions on spatial distribution of size-sex groups is described statistically for snow crab Chionoecetes opilio. Based on the relationships identified, absolute values of catches are calculated for each such group. Machine learning approach is implemented for the feature engineering and statistical relationships evaluation. The approach can be adopted for other benthic stocks. |
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| ISSN: | 1606-9919 2658-5510 |