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Study on prediction fly ash generation using statistical method

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dc.citedby3
dc.contributor.authorZahari N.M.en_US
dc.contributor.authorMohamad D.en_US
dc.contributor.authorArenandan V.en_US
dc.contributor.authorBeddu S.en_US
dc.contributor.authorSadon S.N.en_US
dc.contributor.authorSyamsir A.en_US
dc.contributor.authorKamal N.L.M.en_US
dc.contributor.authorZainoodin M.M.en_US
dc.contributor.authorNadhirah A.en_US
dc.contributor.authorid54891672300en_US
dc.contributor.authorid57200335404en_US
dc.contributor.authorid57209317359en_US
dc.contributor.authorid55812080500en_US
dc.contributor.authorid57200334298en_US
dc.contributor.authorid57195320482en_US
dc.contributor.authorid56239107300en_US
dc.contributor.authorid57202388764en_US
dc.contributor.authorid56353119500en_US
dc.date.accessioned2023-05-29T06:50:08Z
dc.date.available2023-05-29T06:50:08Z
dc.date.issued2018
dc.description.abstractThis study present of fly ash generation at generated one the power plant in Malaysia. The main purpose of this research to predict the generation of fly ash in future years by a method. This prediction is important so that fly ash generated could be used in a beneficial way. Prediction of fly ash was done by using two types of software which are Neural Network Toolbox, MATLAB and IBM SPSS Statistics 23, Linear Regression. Among these two methods, IBM SPSS Statistics 23, Linear Regression is found to be the most effective way to predict the generation of fly ash in the future by using five year's best fit linear regression equation compared to Neural Network Toolbox, MATLAB. � 2018 Author(s).en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo20038
dc.identifier.doi10.1063/1.5066994
dc.identifier.scopus2-s2.0-85057225486
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85057225486&doi=10.1063%2f1.5066994&partnerID=40&md5=b07e2b62cbb1a968e9cc5b17ff10d9bb
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23536
dc.identifier.volume2031
dc.publisherAmerican Institute of Physics Inc.en_US
dc.relation.ispartofAll Open Access, Bronze
dc.sourceScopus
dc.sourcetitleAIP Conference Proceedings
dc.titleStudy on prediction fly ash generation using statistical methoden_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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