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VGU RESEARCH REPOSITORY


Please use this identifier to cite or link to this item: https://epub.vgu.edu.vn/handle/dlibvgu/960
DC FieldValueLanguage
dc.contributor.authorHa Phan Anh Tuanen_US
dc.date.accessioned2020-07-16T03:39:40Z-
dc.date.available2020-07-16T03:39:40Z-
dc.date.issued2019-
dc.identifier.urihttp://epub.vgu.edu.vn/handle/dlibvgu/960-
dc.description.abstractNowadays, multivariate analytics play an important role in both industry and finance fields. It can be used to forecast possible outcomes of certain problems as long as there is enough data to evaluate. The research presents a framework to train neural network models from provided data. And in order to evaluate the efficiency of its, the framework will be applied to a sample use case which is banana age prediction problem. This paper also introduces a method to developing an application that can analyze multivariate spectroscopic data of object by using machine learning techniques to interpret information collected from a handheld device which can gather spectrum data of an object.en_US
dc.language.isoenen_US
dc.publisherVietnamese-German University-
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectMachine learning algorithmen_US
dc.subjectAnalysis applicationen_US
dc.titleMultivariate analysis application using machine learning algorithmen_US
dc.typeThesisen_US
item.grantfulltextrestricted-
item.fulltextWith Fulltext-
item.languageiso639-1other-
Appears in Collections:Computer Science (CS)
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