Boost and Buck DC-DC Converters - Prediction of The Output

被引：0

作者：

Vitanova, Mirjana Kocaleva ^{[1
]}

Zlatev, Zoran ^{[1
]}

Hinov, Nikolay ^{[2
]}

机构：

[1] Goce Delcev Univ, Fac Comp Sci, Stip, North Macedonia

[2] Tech Univ Sofia, Fac Elect Engn & Technol, Sofia, Bulgaria

来源：

2024 13TH INTERNATIONAL CONFERENCE ON MODERN CIRCUITS AND SYSTEMS TECHNOLOGIES, MOCAST 2024 | 2024年

关键词：

DC-DC convertors; classifications; machine learning; prediction;

D O I：

10.1109/MOCAST61810.2024.10615631

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The Boost DC-DC converter is a converter where the output voltage is greater than the input voltage. The Buck DC-DC converter is the opposite to boost. There the output voltage is less than or equal to the input voltage. The paper presents the relation between this type of converter and machine learning approaches. For output prediction we used decision trees techniques. First, we define the converters and give their equation. Then prediction using machine learning techniques was analyzed. At the end we compared and discussed the obtained data for both converters.

引用

页数：4

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