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Artificial Intelligence, Language Intelligence, and Mathematics

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dc.contributor.author남호성-
dc.date.accessioned2021-09-02T20:26:30Z-
dc.date.available2021-09-02T20:26:30Z-
dc.date.created2021-06-16-
dc.date.issued2018-
dc.identifier.issn1225-3871-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/80479-
dc.description.abstractArtificial neural networks(ANN) has provided a theoretical framework on the study of human behavior/cognition and artificial intelligence. This article aims to introduce ANN and its mathematical principle to the field of applied linguistics. An ANN consists of input, hidden, and output vectors and the vectors are connected to one another by weight matrices. Mapping from input to output is accounted for by simple matrix multiplication.-
dc.languageKorean-
dc.language.isoko-
dc.publisher한국응용언어학회-
dc.titleArtificial Intelligence, Language Intelligence, and Mathematics-
dc.title.alternativeArtificial Intelligence, Language Intelligence, and Mathematics-
dc.typeArticle-
dc.contributor.affiliatedAuthor남호성-
dc.identifier.bibliographicCitation응용언어학, v.34, pp.53 - 60-
dc.relation.isPartOf응용언어학-
dc.citation.title응용언어학-
dc.citation.volume34-
dc.citation.startPage53-
dc.citation.endPage60-
dc.type.rimsART-
dc.identifier.kciidART002391816-
dc.description.journalClass2-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorArtificial Intelligence-
dc.subject.keywordAuthorLanguage Intelligence-
dc.subject.keywordAuthorArtificial Neural Network-
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