Autors: Vitanova, M.K., Zlatev, Z., Hinov, N. L.
Title: The Output Prediction of a Boost DC-DC Converter Using Machine Learning Approaches
Keywords: Visualization , Databases , Machine learning , Voltage

Abstract: A 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.

References

    Issue

    2022 V International Conference on High Technology for Sustainable Development (HiTech), 2022, Bulgaria, IEEE

    Copyright IEEE

    Цитирания (Citation/s):
    1. K. Madumathi, T. S. Saravanan, K. L. Khandan, R. Raja, S. Kannan and R. M, "Deep Learning Approach for Predicting Output Current Ripple in Electric Vehicle Chargers," 2024 International Conference on Inventive Computation Technologies (ICICT), Lalitpur, Nepal, 2024, pp. 7-11, doi: 10.1109/ICICT60155.2024.10544866. - 2024 - в издания, индексирани в Scopus или Web of Science

    Вид: публикация в национален форум с межд. уч., публикация в реферирано издание, индексирана в Scopus