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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| Format: | Article |
| Language: | Russian |
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Transactions of the Pacific Research Institute of Fisheries and Oceanography
2024-12-01
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| Series: | Известия ТИНРО |
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| Online Access: | https://izvestiya.tinro-center.ru/jour/article/view/1008 |
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| _version_ | 1850045882601308160 |
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| author | I. S. Chernienko A. G. Slizkin V. V. Kulik |
| author_facet | I. S. Chernienko A. G. Slizkin V. V. Kulik |
| author_sort | I. S. Chernienko |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-a10134d3ce2d46598b4e39a7810601c3 |
| institution | DOAJ |
| issn | 1606-9919 2658-5510 |
| language | Russian |
| publishDate | 2024-12-01 |
| publisher | Transactions of the Pacific Research Institute of Fisheries and Oceanography |
| record_format | Article |
| series | Известия ТИНРО |
| spelling | doaj-art-a10134d3ce2d46598b4e39a7810601c32025-08-20T02:54:36ZrusTransactions of the Pacific Research Institute of Fisheries and OceanographyИзвестия ТИНРО1606-99192658-55102024-12-0120441018103410.26428/1606-9919-2024-204-1018-1034870Application of machine learning methods to restore size-sex composition in catches of snow crabI. S. Chernienko0A. G. Slizkin1V. V. Kulik2Pacific branch of VNIRO (TINRO)Pacific branch of VNIRO (TINRO)Pacific branch of VNIRO (TINRO)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.https://izvestiya.tinro-center.ru/jour/article/view/1008bering seasnow crab<i>chionoecetes opilio</i>catch compositionhabitat environmentmachine learning |
| spellingShingle | I. S. Chernienko A. G. Slizkin V. V. Kulik Application of machine learning methods to restore size-sex composition in catches of snow crab Известия ТИНРО bering sea snow crab <i>chionoecetes opilio</i> catch composition habitat environment machine learning |
| title | Application of machine learning methods to restore size-sex composition in catches of snow crab |
| title_full | Application of machine learning methods to restore size-sex composition in catches of snow crab |
| title_fullStr | Application of machine learning methods to restore size-sex composition in catches of snow crab |
| title_full_unstemmed | Application of machine learning methods to restore size-sex composition in catches of snow crab |
| title_short | Application of machine learning methods to restore size-sex composition in catches of snow crab |
| title_sort | application of machine learning methods to restore size sex composition in catches of snow crab |
| topic | bering sea snow crab <i>chionoecetes opilio</i> catch composition habitat environment machine learning |
| url | https://izvestiya.tinro-center.ru/jour/article/view/1008 |
| work_keys_str_mv | AT ischernienko applicationofmachinelearningmethodstorestoresizesexcompositionincatchesofsnowcrab AT agslizkin applicationofmachinelearningmethodstorestoresizesexcompositionincatchesofsnowcrab AT vvkulik applicationofmachinelearningmethodstorestoresizesexcompositionincatchesofsnowcrab |