Detail publikačního výsledku

Classification of Microwave Planar Filters by Deep Learning

VESELÝ, J.; OLIVOVÁ, J.; GÖTTHANS, J.; GÖTTHANS, T.; RAIDA, Z.

Originální název

Classification of Microwave Planar Filters by Deep Learning

Anglický název

Classification of Microwave Planar Filters by Deep Learning

Druh

Článek WoS

Originální abstrakt

Over the last few decades, deep learning has been considered to be powerful tool in the classification tasks, and has become popular in many applications due to its capabil-ity of processing huge amount of data. This paper presents approaches for image recognition. We have applied convolu-tional neural networks on microwave planar filters. The first task was filter topology classification, the second task was filter order estimation. For the task a dataset was generated. As presented in the results, the created and trained neural networks are very capable of solving the selected tasks.

Anglický abstrakt

Over the last few decades, deep learning has been considered to be powerful tool in the classification tasks, and has become popular in many applications due to its capabil-ity of processing huge amount of data. This paper presents approaches for image recognition. We have applied convolu-tional neural networks on microwave planar filters. The first task was filter topology classification, the second task was filter order estimation. For the task a dataset was generated. As presented in the results, the created and trained neural networks are very capable of solving the selected tasks.

Klíčová slova

Convolutional neural network; deep learning; band pass filter; low pass shunt filter; low pass stepped filter; order of filter

Klíčová slova v angličtině

Convolutional neural network; deep learning; band pass filter; low pass shunt filter; low pass stepped filter; order of filter

Autoři

VESELÝ, J.; OLIVOVÁ, J.; GÖTTHANS, J.; GÖTTHANS, T.; RAIDA, Z.

Rok RIV

2022

Vydáno

01.04.2022

Nakladatel

Czech Technical University in Prague

Místo

PRAHA

ISSN

1221-2512

Periodikum

Radioengineering

Svazek

31

Číslo

1

Stát

Česká republika

Strany od

69

Strany do

76

Strany počet

8

URL

https://www.radioeng.cz/fulltexts/2022/22_01_0069_0076.pdf

BibTex

@article{BUT178117,
  author="Jiří {Veselý} and Jana {Olivová} and Jakub {Götthans} and Tomáš {Götthans} and Zbyněk {Raida}",
  title="Classification of Microwave Planar Filters by Deep Learning",
  journal="Radioengineering",
  year="2022",
  volume="31",
  number="1",
  pages="69--76",
  doi="10.13164/re.2022.0069",
  issn="1221-2512",
  url="https://www.radioeng.cz/fulltexts/2022/22_01_0069_0076.pdf"
}