HARNESSING THE POWER OF ARTIFICIAL NEURAL NETWORKS FOR ADVANCED STATISTICAL ANALYSIS

dc.contributor.authorMukhitdinova Munavvarhon Khayotovna
dc.date.accessioned2025-12-29T11:16:30Z
dc.date.issued2023-06-18
dc.description.abstractThis article provides a comprehensive review of the use of Artificial Neural Networks (ANNs) in advanced statistical analysis. Due to the growing complexity and scale of data, traditional statistical methods often do not provide accurate and reliable analysis. ANNs, with their inherent ability to model non-linear relationships and process multidimensional data, are an effective solution. Methodological developments, practical applications and problems arising from the use of ANN for statistical research are analyzed.
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dc.identifier.urihttps://americanjournal.org/index.php/ajbmeb/article/view/996
dc.identifier.urihttps://asianeducationindex.com/handle/123456789/16314
dc.language.isoeng
dc.publisherAmerican Journals
dc.relationhttps://americanjournal.org/index.php/ajbmeb/article/view/996/912
dc.rightshttps://creativecommons.org/licenses/by-nc/4.0
dc.sourceAmerican Journal of Business Management, Economics and Banking; Vol. 13 (2023); 96-100
dc.source2832-8078
dc.subjectArtificial Neural Networks, Statistical Analysis, Literature Review, Methodological Developments, Practical Applications, Future Directions.
dc.titleHARNESSING THE POWER OF ARTIFICIAL NEURAL NETWORKS FOR ADVANCED STATISTICAL ANALYSIS
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typePeer-reviewed Article

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