SOLVING THE PROBLEMS OF OPTIMAL MARKET RESEARCH USING RECURRENT NEURAL NETWORKS

Autor:	Muhamediyeva, D.T., Urokov, S.R., Mirzaraxmedov, S.S.
Jazyk:	angličtina
Rok vydání:	2020
Předmět:	Quantitative Biology::Neurons and Cognition Recurrent neural networks Computer Science::Neural and Evolutionary Computation optimization multi-criteria task decision making risk
DOI:	10.34660/inf.2020.46.61.001
Popis:	This article discusses neural network algorithms for optimal market research. The algorithm is based on the use of a recurrent neural network and the principle of "Winner takes all".
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::0231ead7fdb3589e7e05efdf28961005 Zobrazit plný text záznamu