Autors: Hinov, N. L., Gocheva, P. V., Gochev, V.P., Gilev, B. N.
Title: Modeling and design of a boost converter with neural networks
Keywords: neural networks, Modeling, power electronics

Abstract: This paper aims to present an approach which automates estimation of important parameters of a boost converter through feed-forward neural networks. The last ones give an alternative way these parameters to be assessed. It is faster in its final phase compared to the standard approach of modeling with differential equations; this feature is essential if it is necessary to evaluate multiple parameters and solve optimization problems



    AIP Conference Proceedings. 45th International Conference on Application of Mathematics in Engineering and Economics, AMEE 2019; Sozopol; Bulgaria; 7 June 2019 through 13 June 2019, vol. 2172, pp. Article number 110009, 2019, Bulgaria, American Institute of Physics Inc., DOI 10.1063/1.5133612

    Copyright Author(s)

    Цитирания (Citation/s):
    1. . Nikolay Hinov;Bogdan Gilev;Stoyan Popov, "Modeling and Design of a Buck DC-DC Converter with Feed Forward Neural Networks”, 2021 IV International Conference on High Technology for Sustainable Development (HiTech 2021), DOI: 10.1109/HiTech53072.2021.9614203 - 2021 - в издания, индексирани в Scopus или Web of Science

    Вид: пленарен доклад в международен форум, публикация в издание с импакт фактор, публикация в реферирано издание, индексирана в Scopus