Neural Networks

dc.creatorFazliddinovich, Sayfullayev Ramziddin
dc.creatorAsatillo oʻgʻli, Daurov Doston
dc.creatorToyir oʻgʻli, Luqmonov Diyor
dc.creatorXudoyberdi o'g'li, Toʻychiyev Nodir
dc.date2023-05-06
dc.date.accessioned2023-08-21T09:06:19Z
dc.date.available2023-08-21T09:06:19Z
dc.descriptionThis article considers the classification of neural networks according to the types of tasks being solved, the types of neurons, the structure of neurons, and the methods of training neurons. Artificial intelligence and artificial neural networks are becoming more and more popular. In this article, we will look at the main types of neural networks and talk about how they work and where they are used. An understanding is given of what the concept of neural networks entails, how neural networks develop in terms of their real performance.en-US
dc.formatapplication/pdf
dc.identifierhttps://univerpubl.com/index.php/semantic/article/view/1426
dc.identifier.urihttp://dspace.umsida.ac.id/handle/123456789/22364
dc.languageeng
dc.publisherUniver Publishingen-US
dc.relationhttps://univerpubl.com/index.php/semantic/article/view/1426/1233
dc.sourceWeb of Semantic: Universal Journal on Innovative Education; Vol. 2 No. 5 (2023): Web of Semantic: Universal Journal on Innovative Education; 58-61en-US
dc.source2835-3048
dc.subjectartificial neural networken-US
dc.subjectfully connected neural networksen-US
dc.subjectpartially connected neural networksen-US
dc.subjectmonotonic neural networksen-US
dc.subjectnetworks without feedbacken-US
dc.subjectneural networks with feedbacken-US
dc.subjectsingle-layer and multi-layer neural networksen-US
dc.subjecthomogeneous and heterogeneous neural networksen-US
dc.subjectactivation function of neuronsen-US
dc.subjectmethods for learning neural networks networksen-US
dc.titleNeural Networksen-US
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typePeer-reviewed Articleen-US
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