Classification of Microwave Planar Filters by Deep Learning
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 capability of processing huge amount of data. This paper presents approaches for image recognition. We have applied convolutional neura...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Spolecnost pro radioelektronicke inzenyrstvi
2022-04-01
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| Series: | Radioengineering |
| Subjects: | |
| Online Access: | https://www.radioeng.cz/fulltexts/2022/22_01_0069_0076.pdf |
| _version_ | 1818490196266582016 |
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| author | J. Vesely J. Olivova J. Gotthans T. Gotthans Z. Raida |
| author_facet | J. Vesely J. Olivova J. Gotthans T. Gotthans Z. Raida |
| author_sort | J. Vesely |
| collection | DOAJ |
| description | 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 capability of processing huge amount of data. This paper presents approaches for image recognition. We have applied convolutional 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. |
| first_indexed | 2024-12-10T17:14:04Z |
| format | Article |
| id | doaj.art-69a4eafad4d9450ab93de1872f5e151a |
| institution | Directory Open Access Journal |
| issn | 1210-2512 |
| language | English |
| last_indexed | 2024-12-10T17:14:04Z |
| publishDate | 2022-04-01 |
| publisher | Spolecnost pro radioelektronicke inzenyrstvi |
| record_format | Article |
| series | Radioengineering |
| spelling | doaj.art-69a4eafad4d9450ab93de1872f5e151a2022-12-22T01:40:12ZengSpolecnost pro radioelektronicke inzenyrstviRadioengineering1210-25122022-04-013116976Classification of Microwave Planar Filters by Deep LearningJ. VeselyJ. OlivovaJ. GotthansT. GotthansZ. RaidaOver 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 capability of processing huge amount of data. This paper presents approaches for image recognition. We have applied convolutional 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.https://www.radioeng.cz/fulltexts/2022/22_01_0069_0076.pdfconvolutional neural networkdeep learningband pass filterlow pass shunt filterlow pass stepped filterorder of filter |
| spellingShingle | J. Vesely J. Olivova J. Gotthans T. Gotthans Z. Raida Classification of Microwave Planar Filters by Deep Learning Radioengineering convolutional neural network deep learning band pass filter low pass shunt filter low pass stepped filter order of filter |
| title | Classification of Microwave Planar Filters by Deep Learning |
| title_full | Classification of Microwave Planar Filters by Deep Learning |
| title_fullStr | Classification of Microwave Planar Filters by Deep Learning |
| title_full_unstemmed | Classification of Microwave Planar Filters by Deep Learning |
| title_short | Classification of Microwave Planar Filters by Deep Learning |
| title_sort | classification of microwave planar filters by deep learning |
| topic | convolutional neural network deep learning band pass filter low pass shunt filter low pass stepped filter order of filter |
| url | https://www.radioeng.cz/fulltexts/2022/22_01_0069_0076.pdf |
| work_keys_str_mv | AT jvesely classificationofmicrowaveplanarfiltersbydeeplearning AT jolivova classificationofmicrowaveplanarfiltersbydeeplearning AT jgotthans classificationofmicrowaveplanarfiltersbydeeplearning AT tgotthans classificationofmicrowaveplanarfiltersbydeeplearning AT zraida classificationofmicrowaveplanarfiltersbydeeplearning |