Kocaleva, Mirjana and Zlatev, Zoran and Hinov, Nikolay (2023) The Output Prediction of a Boost DC-DC Converter Using Machine Learning Approaches. In: V International conference on High Technology for Sustainable Development HiTech 2022, 6 - 7 October 2022, Sofia, Bulgaria.
Full text not available from this repository.Abstract
boost DC to DC converter is a converter with
an output voltage greater than the input voltage. A boost
converter is also known as a step-up converter since it "steps up" the input voltage. The paper shows the connection between boost DC-DC transistor converters and machine learning approaches. From machine learning approaches we used classification i.e., decision trees techniques. In the paper we define the boost converter and gave its equation. Then the database was described and the way we used WEKA for
output prediction. At the end we discussed the obtained results.
| Item Type: | Conference or Workshop Item (Speech) |
|---|---|
| Subjects: | Natural sciences > Computer and information sciences |
| Divisions: | Faculty of Computer Science |
| Depositing User: | Mirjana Kocaleva Vitanova |
| Date Deposited: | 04 Jul 2023 08:15 |
| Last Modified: | 04 Jul 2023 08:15 |
| URI: | https://eprints.ugd.edu.mk/id/eprint/30267 |
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