NEURAL ORDINARY DIFFERENTIAL EQUATIONS FOR TIME SERIES RECONSTRUCTION
Context. Neural Ordinary Differential Equations is a deep neural networks family that leverage numerical methods approaches for solving the problem of time series reconstruction, given small amount of unevenly distributed samples. Objective. The goal of the following research is the synthesis of a d...
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| Published in: | Radìoelektronika, informatika, upravlìnnâ no. 4; p. 69 |
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| Main Author: | |
| Format: | Journal Article |
| Language: | English |
| Published: |
24.12.2023
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| ISSN: | 1607-3274, 2313-688X |
| Online Access: | Get full text |
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