Skip to main content
AkademIndex

Products

For developers

AkademBasesoonOpen API for the ecosystem
Latin
English
Article

Deep learning neural networks in fuzzy modeling

D M SotvoldievTashkent University of Information Technologies named after Muhammad al-Khwarizmi, Amir Temur street, 108, 100200, Tashkent, UzbekistanD.T. MuhamediyevaTashkent University of Information Technologies named after Muhammad al-Khwarizmi, Amir Temur street, 108, 100200, Tashkent, UzbekistanZafar JuraevTashkent University of Information Technologies named after Muhammad al-Khwarizmi, Amir Temur street, 108, 100200, Tashkent, Uzbekistan
ABI

Abstract

Abstract 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.

Topics

Identifiers

Citations and references

Metrics — AkademScholar · Coming soon