Machine Learning and Fuzzy Logic in Electronics: Applying Intelligence in Practice

The paper presents an analysis and summary of the current research state concerning the application of machine learning and fuzzy logic for solving problems in electronics. The investigated domain is conceptualized with aim the achievements, trending topics and future research directions to be outli...

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Autores principales:	Malinka Ivanova, Petya Petkova, Nikolay Petkov
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	electronics machine learning fuzzy logic neural networks intelligent devises sensors Electronics TK7800-8360
Acceso en línea:	https://doaj.org/article/9a63fec8b829425293ff15f7d6c828cd
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spelling	oai:doaj.org-article:9a63fec8b829425293ff15f7d6c828cd2021-11-25T17:25:34ZMachine Learning and Fuzzy Logic in Electronics: Applying Intelligence in Practice10.3390/electronics102228782079-9292https://doaj.org/article/9a63fec8b829425293ff15f7d6c828cd2021-11-01T00:00:00Zhttps://www.mdpi.com/2079-9292/10/22/2878https://doaj.org/toc/2079-9292The paper presents an analysis and summary of the current research state concerning the application of machine learning and fuzzy logic for solving problems in electronics. The investigated domain is conceptualized with aim the achievements, trending topics and future research directions to be outlined. The applied research methodology includes a bibliographic approach in combination with a detailed examination of 66 selected papers. The findings reveal the gradually increasing interest over the last 10 years in the machine learning and fuzzy logic techniques for modeling, implementing and improving different hardware-based intelligent systems.Malinka IvanovaPetya PetkovaNikolay PetkovMDPI AGarticleelectronicsmachine learningfuzzy logicneural networksintelligent devisessensorsElectronicsTK7800-8360ENElectronics, Vol 10, Iss 2878, p 2878 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	electronics machine learning fuzzy logic neural networks intelligent devises sensors Electronics TK7800-8360
spellingShingle	electronics machine learning fuzzy logic neural networks intelligent devises sensors Electronics TK7800-8360 Malinka Ivanova Petya Petkova Nikolay Petkov Machine Learning and Fuzzy Logic in Electronics: Applying Intelligence in Practice
description	The paper presents an analysis and summary of the current research state concerning the application of machine learning and fuzzy logic for solving problems in electronics. The investigated domain is conceptualized with aim the achievements, trending topics and future research directions to be outlined. The applied research methodology includes a bibliographic approach in combination with a detailed examination of 66 selected papers. The findings reveal the gradually increasing interest over the last 10 years in the machine learning and fuzzy logic techniques for modeling, implementing and improving different hardware-based intelligent systems.
format	article
author	Malinka Ivanova Petya Petkova Nikolay Petkov
author_facet	Malinka Ivanova Petya Petkova Nikolay Petkov
author_sort	Malinka Ivanova
title	Machine Learning and Fuzzy Logic in Electronics: Applying Intelligence in Practice
title_short	Machine Learning and Fuzzy Logic in Electronics: Applying Intelligence in Practice
title_full	Machine Learning and Fuzzy Logic in Electronics: Applying Intelligence in Practice
title_fullStr	Machine Learning and Fuzzy Logic in Electronics: Applying Intelligence in Practice
title_full_unstemmed	Machine Learning and Fuzzy Logic in Electronics: Applying Intelligence in Practice
title_sort	machine learning and fuzzy logic in electronics: applying intelligence in practice
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/9a63fec8b829425293ff15f7d6c828cd
work_keys_str_mv	AT malinkaivanova machinelearningandfuzzylogicinelectronicsapplyingintelligenceinpractice AT petyapetkova machinelearningandfuzzylogicinelectronicsapplyingintelligenceinpractice AT nikolaypetkov machinelearningandfuzzylogicinelectronicsapplyingintelligenceinpractice
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Machine Learning and Fuzzy Logic in Electronics: Applying Intelligence in Practice

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