Open AccessDeep learning neural networks in fuzzy modeling
Author(s) -
Dilshodbek Sotvoldiev,
Dilnoz Muhamediyeva,
Z. Juraev
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1441/1/012171
Subject(s) - artificial intelligence , artificial neural network , deep learning , computer science , types of artificial neural networks , fuzzy logic , neuro fuzzy , deep neural networks , machine learning , time delay neural network , fuzzy control system
Deep learning neural networks have achieved remarkable success in various fields of application of artificial intelligence. This technology, which grew out of studies of artificial neural networks, has shown superior performance compared to other machine learning algorithms in areas such as image and voice recognition, natural language processing, and others. The use of deep learning neural networks in the construction of a fuzzy model is proposed.