Analysis of time series characteristics using machine learning model and correlation matrix in the tasks of forecasting the state of forest ecosystems
This paper considers the problem of choosing the required set of characteristics for time series forecasting. The method of solving this problem on the basis of correlation matrix is proposed. A correlation matrix is constructed based on the prepared data, after which a list is formed for each varia...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2024-01-01
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| Series: | BIO Web of Conferences |
| Online Access: | https://www.bio-conferences.org/articles/bioconf/pdf/2024/64/bioconf_ForestryForum2024_04019.pdf |
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