Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/47699
Title: Fuzzy Logic Modeling and Application for Optimization of Wide Band Filters
Authors: Saraç, Ramazan
Urhan, Mehmet
Özek, Ahmet
Karpuz, Ceyhun
Keywords: Computer circuits
Frequency response
Fuzzy filters
Fuzzy logic
Microstrip filters
Filter optimization
Fuzzy logic applications
Fuzzy logic modeling
Fuzzy modeling
Modeling results
Open-circuits
Optimisations
Physical dimensions
Wide band filter
Wide-band
Microwave filters
Publisher: Institute of Electrical and Electronics Engineers Inc.
Abstract: This paper introduces fuzzy logic models for optimizing open-circuit or short-circuit terminated wide-band microstrip filters with ?/4 stubs. By using the physical dimensions as parameters in the filter geometry, both the filter optimization was performed and on the contrary, the filter frequency response was improved depending on the geometric parameters. For this purpose, various theoretical fuzzy models were developed and the results obtained from the simulations of the final structures were compared with the optimization results, and the validity of the applied inferential fuzzy logic models was demonstrated. Simulations were carried out with SONNET. NeuroSolutions and CADMFILT programs were used to run the generated fuzzy models. The accuracy of the fuzzy models created by comparing the modeling results obtained from the two programs and their validity for filter optimization were demonstrated. © 2021 Chamber of Turkish Electrical Engineers.
Description: 13th International Conference on Electrical and Electronics Engineering, ELECO 2021 -- 25 November 2021 through 27 November 2021 -- 176537
URI: https://doi.org/10.23919/ELECO54474.2021.9677796
https://hdl.handle.net/11499/47699
ISBN: 9786050114379
Appears in Collections:Mühendislik Fakültesi Koleksiyonu
Sarayköy Meslek Yüksekokulu Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection

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