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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Published in:Electronics (Basel) 2021-11, Vol.10 (22), p.2878
Main Authors: Ivanova, Malinka, Petkova, Petya, Petkov, Nikolay
Format: Article
Language:English
Subjects:
Algorithms
Artificial intelligence
Bibliographic records
Bibliometrics
Collaboration
Electronics
Engineering
Fuzzy logic
Hirsch index
Keywords
Machine learning
Science
Software
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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.
doi_str_mv 10.3390/electronics10222878
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subjects Algorithms
Artificial intelligence
Bibliographic records
Bibliometrics
Collaboration
Electronics
Engineering
Fuzzy logic
Hirsch index
Keywords
Machine learning
Science
Software
title Machine Learning and Fuzzy Logic in Electronics: Applying Intelligence in Practice
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