A study on an online acceleration of automatic design of RF-DC conversion circuit using neural networks

Takuma Akada, Kazuhiro Fujimori

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The design method of RF-DC conversion circuits for wireless power transmission is discussed. The extent to which circuit properties can be estimated using convolutional neural networks is discussed in this study. In order to use an automatic design method for circuit design, it is a problem that it takes time for electromagnetic field analysis. It is shown that the proposed method may make it possible to design circuits in a realistic time.

Original languageEnglish
Title of host publication2020 International Symposium on Antennas and Propagation, ISAP 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages805-806
Number of pages2
ISBN (Electronic)9784885523267
DOIs
Publication statusPublished - Jan 25 2021
Event2020 International Symposium on Antennas and Propagation, ISAP 2020 - Virtual, Osaka, Japan
Duration: Jan 25 2021Jan 28 2021

Publication series

Name2020 International Symposium on Antennas and Propagation, ISAP 2020

Conference

Conference2020 International Symposium on Antennas and Propagation, ISAP 2020
CountryJapan
CityVirtual, Osaka
Period1/25/211/28/21

Keywords

  • Convolutional Neural Networks
  • Genetic Algorithms
  • RF-DC conversion circuit

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Instrumentation

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