OPTIMIZATION OF RF AND MICROWAVE FILTERS USING ML TECHNIQUES

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dc.contributor.author	Tortayev, Kadyrzhan
dc.date.accessioned	2024-06-23T17:57:58Z
dc.date.available	2024-06-23T17:57:58Z
dc.date.issued	2024-04-19
dc.identifier.citation	Tortayev, K. (2024). Optimization of RF and Microwave Filters using ML techniques. Nazarbayev University School of Engineering and Digital Sciences	en_US
dc.identifier.uri	http://nur.nu.edu.kz/handle/123456789/7961
dc.description.abstract	Designing high-performance microwave and millimeter-wave filters presents a significant challenge due to the sensitivity of filter characteristics to variations in geometric dimensions and electrical sizes. Typically, filter design involves optimizing design variables, starting from initial values. However, if these initial values are too far from the optimal solution, optimization often fails to yield satisfactory results. To address this issue, this project analyzes current methods used in the optimization of microwave and millimeter-wave filters.	en_US
dc.language.iso	en	en_US
dc.publisher	Nazarbayev University School of Engineering and Digital Sciences	en_US
dc.rights	Attribution 3.0 United States	*
dc.rights.uri	http://creativecommons.org/licenses/by/3.0/us/	*
dc.subject	RF	en_US
dc.subject	Microwave	en_US
dc.subject	Filters	en_US
dc.subject	Machine Learning	en_US
dc.subject	Microstrip	en_US
dc.subject	Type of access: Embargo	en_US
dc.title	OPTIMIZATION OF RF AND MICROWAVE FILTERS USING ML TECHNIQUES	en_US
dc.type	Bachelor's thesis	en_US
workflow.import.source	science