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Application of inductive learning: Air pollution forecast in Istanbul, Turkey

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dc.contributor.authorKaraca, F
dc.contributor.authorAlagha, O
dc.contributor.authorErtürk, F
dc.date.accessioned2026-06-27T13:05:19Z
dc.date.issued2005
dc.description.abstractIn this study, Istanbul city was taken as the study area. A new and powerful technique, Artificial Intelligence (AI), an Inductive Learning Algorithm (RULES-3), was used in predicting the future (next 24 hours) sulfur dioxide (SO2) air pollutant on the basis of various meteorological parameters. The goal of this study is to forecast the 24-h average SO2 concentration levels in the urban atmosphere using AI. As a result of this study, it was seen that Al is a powerful tool in estimating air pollution levels considering the complex and nonlinear structure of the atmospheric parameters, which is the source of the database.en
dc.description.urihttps://doi.org/10.1080/10798587.2005.10642905
dc.identifier.doi10.1080/10798587.2005.10642905
dc.identifier.eissn2326-005X
dc.identifier.endpage216
dc.identifier.issn1079-8587
dc.identifier.issue4
dc.identifier.startpage207
dc.identifier.urihttps://hdl.handle.net/20.500.14981/49547
dc.identifier.volume11
dc.identifier.wos000232871900001
dc.language.isoeng
dc.publisherTECH SCIENCE PRESS
dc.relation.ispartofINTELLIGENT AUTOMATION AND SOFT COMPUTING
dc.subjectair pollution forecasting
dc.subjectinductive learning
dc.subjectRULES-3
dc.subjectSO2
dc.subjectENVIRONMENTAL DATA
dc.subjectTIME-SERIES
dc.subjectOZONE
dc.subjectMODEL
dc.subjectAutomation & Control Systems
dc.subjectComputer Science
dc.titleApplication of inductive learning: Air pollution forecast in Istanbul, Turkey
dc.typeArticle
dspace.entity.typePublication
local.import.sourceWOS

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