Deep learning for inverse design of broadband quasi- yagi antenna

HIGHLIGHTS

• who: Wen-Ying Zhou and colleagues from the Key Lab of Opto-Electronic Technology and Intelligent Control of Ministry of Education, Lanzhou Jiaotong University, Lanzhou, China have published the research: Deep Learning for Inverse Design of Broadband Quasi- Yagi Antenna, in the Journal: International Journal of RF and Microwave Computer-Aided Engineering 0 of 26/Oct/2022
• what: For obtaining geometry of the broadband quasi-Yagi antenna from its physic response images directly the authors propose an inverse design approach based on the optimized bidirectional symmetry GoogLeNet which can extract the required bandwidth information to . . .
  

   

  

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