ANALYSIS OF THE HEXAGONAL SPLIT RING RESONATOR USING MACHINE LEARNING BY CONSIDERING SPLIT GAP AS A PRIME FACTOR

The Hexagonal split-ring resonators (HSRR) are one of the prime elements of metamaterial and patch antenna design in the millimetre-wave range. Even though it`s widely used there is no particular mathematic model is available for it. This analysis presents the mathematical nature of the relation bet...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Thippesha D, Pramodh BR
Formato:	article
Lenguaje:	EN
Publicado:	Yeshwantrao Chavan College of Engineering, India 2021
Materias:	hexagonal split-ring resonators metamaterial patch antenna mathematical analysis machine learning resonance frequencies linear regression decision tree random forest polynomial regression. Electrical engineering. Electronics. Nuclear engineering TK1-9971 Mechanical engineering and machinery TJ1-1570
Acceso en línea:	https://doaj.org/article/1831957daee24bd3a7222eab423c5e3d
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:1831957daee24bd3a7222eab423c5e3d
record_format	dspace
spelling	oai:doaj.org-article:1831957daee24bd3a7222eab423c5e3d2021-11-26T10:22:28ZANALYSIS OF THE HEXAGONAL SPLIT RING RESONATOR USING MACHINE LEARNING BY CONSIDERING SPLIT GAP AS A PRIME FACTOR10.46565/jreas.2021.v06i04.0072456-6403https://doaj.org/article/1831957daee24bd3a7222eab423c5e3d2021-10-01T00:00:00Zhttp://www.mgijournal.com/Data/Issues_AdminPdf/308/ID%2010.pdfhttps://doaj.org/toc/2456-6403The Hexagonal split-ring resonators (HSRR) are one of the prime elements of metamaterial and patch antenna design in the millimetre-wave range. Even though it`s widely used there is no particular mathematic model is available for it. This analysis presents the mathematical nature of the relation between split widths, resonance frequencies; reflection (s11) and mutual coupling (s12) by identifying tend of the data with the aid of machine learning algorithms. The predicted relation will help to design efficient metamaterial, antennas and related appliances.Thippesha D Pramodh BRYeshwantrao Chavan College of Engineering, Indiaarticlehexagonal split-ring resonatorsmetamaterialpatch antennamathematical analysismachine learningresonance frequencieslinear regressiondecision treerandom forestpolynomial regression.Electrical engineering. Electronics. Nuclear engineeringTK1-9971Mechanical engineering and machineryTJ1-1570ENJournal of Research in Engineering and Applied Sciences, Vol 6, Iss 4, Pp 184-187 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	hexagonal split-ring resonators metamaterial patch antenna mathematical analysis machine learning resonance frequencies linear regression decision tree random forest polynomial regression. Electrical engineering. Electronics. Nuclear engineering TK1-9971 Mechanical engineering and machinery TJ1-1570
spellingShingle	hexagonal split-ring resonators metamaterial patch antenna mathematical analysis machine learning resonance frequencies linear regression decision tree random forest polynomial regression. Electrical engineering. Electronics. Nuclear engineering TK1-9971 Mechanical engineering and machinery TJ1-1570 Thippesha D Pramodh BR ANALYSIS OF THE HEXAGONAL SPLIT RING RESONATOR USING MACHINE LEARNING BY CONSIDERING SPLIT GAP AS A PRIME FACTOR
description	The Hexagonal split-ring resonators (HSRR) are one of the prime elements of metamaterial and patch antenna design in the millimetre-wave range. Even though it`s widely used there is no particular mathematic model is available for it. This analysis presents the mathematical nature of the relation between split widths, resonance frequencies; reflection (s11) and mutual coupling (s12) by identifying tend of the data with the aid of machine learning algorithms. The predicted relation will help to design efficient metamaterial, antennas and related appliances.
format	article
author	Thippesha D Pramodh BR
author_facet	Thippesha D Pramodh BR
author_sort	Thippesha D
title	ANALYSIS OF THE HEXAGONAL SPLIT RING RESONATOR USING MACHINE LEARNING BY CONSIDERING SPLIT GAP AS A PRIME FACTOR
title_short	ANALYSIS OF THE HEXAGONAL SPLIT RING RESONATOR USING MACHINE LEARNING BY CONSIDERING SPLIT GAP AS A PRIME FACTOR
title_full	ANALYSIS OF THE HEXAGONAL SPLIT RING RESONATOR USING MACHINE LEARNING BY CONSIDERING SPLIT GAP AS A PRIME FACTOR
title_fullStr	ANALYSIS OF THE HEXAGONAL SPLIT RING RESONATOR USING MACHINE LEARNING BY CONSIDERING SPLIT GAP AS A PRIME FACTOR
title_full_unstemmed	ANALYSIS OF THE HEXAGONAL SPLIT RING RESONATOR USING MACHINE LEARNING BY CONSIDERING SPLIT GAP AS A PRIME FACTOR
title_sort	analysis of the hexagonal split ring resonator using machine learning by considering split gap as a prime factor
publisher	Yeshwantrao Chavan College of Engineering, India
publishDate	2021
url	https://doaj.org/article/1831957daee24bd3a7222eab423c5e3d
work_keys_str_mv	AT thippeshad analysisofthehexagonalsplitringresonatorusingmachinelearningbyconsideringsplitgapasaprimefactor AT pramodhbr analysisofthehexagonalsplitringresonatorusingmachinelearningbyconsideringsplitgapasaprimefactor
_version_	1718409643291574272

ANALYSIS OF THE HEXAGONAL SPLIT RING RESONATOR USING MACHINE LEARNING BY CONSIDERING SPLIT GAP AS A PRIME FACTOR

Ejemplares similares