Fuzzy logic systems and medical applications

Autor:	Elena Vlamou, Basil Papadopoulos
Jazyk:	angličtina
Rok vydání:	2019
Předmět:	fuzzy logic systems neuro-fuzzy networks fuzzy logic inference fuzzy controllers parkinson’s disease Neurosciences. Biological psychiatry. Neuropsychiatry RC321-571
Zdroj:	AIMS Neuroscience, Vol 6, Iss 4, Pp 266-272 (2019)
Druh dokumentu:	article
ISSN:	2373-8006 2373-7972
DOI:	10.3934/Neuroscience.2019.4.266/fulltext.html
Popis:	The combination of Artificial Neural Networks and Fuzzy Logic Systems enables the representation of real-world problems via the creation of intelligent and adaptive systems. By adapting the interconnections between layers, Artificial Neural networks are able to learn. A computing framework based on the concept of fuzzy set and rules as well as fuzzy reasoning is offered by fuzzy logic inference systems. The fusion of the aforementioned adaptive structures is called a “Neuro-Fuzzy” system. In this paper, the main elements of said structures are examined. Researchers have noticed that this fusion could be applied for pattern recognition in medical applications.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/c618b073105b47d48a946cfbc9da0bfe Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF Plný text ve formátu HTML
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