Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/5078
Full metadata record
DC FieldValueLanguage
dc.contributor.authorFirat, M.-
dc.contributor.authorGüngör, M.-
dc.date.accessioned2019-08-16T11:41:01Z-
dc.date.available2019-08-16T11:41:01Z-
dc.date.issued2004-
dc.identifier.issn1300-3453-
dc.identifier.urihttps://hdl.handle.net/11499/5078-
dc.description.abstractComputation on Civil Engineering has concentrated primarily on artificial intelligence applications in the past few years. These applications generally involve expert systems. This article deals Neural Networks and applications were presented. It quickly gives results In test phase in short time. It is a preferable method among the other approaching methods. In Turkey, sedimentation which is the natural result of erosion occurring by different factors is known having an adverse effect on development of soil and water resources. In this study, the suspended sediment amount carried by stream is determined by the feed forward neural network method. The training sets for the problem were generated through sediment measurements which have been performed by EIE.en_US
dc.language.isotren_US
dc.relation.ispartofTeknik Dergi/Technical Journal of Turkish Chamber of Civil Engineersen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectFeed forward neural network methoden_US
dc.subjectSediment measurementsen_US
dc.subjectSoil developmenten_US
dc.subjectSuspended sedimentsen_US
dc.subjectArtificial intelligenceen_US
dc.subjectCalculationsen_US
dc.subjectCivil engineeringen_US
dc.subjectComputer applicationsen_US
dc.subjectErosionen_US
dc.subjectExpert systemsen_US
dc.subjectProblem solvingen_US
dc.subjectSedimentationen_US
dc.subjectWater resourcesen_US
dc.subjectNeural networksen_US
dc.titleDetermination of carried suspended sediment concentration and amount by artificial neural networksen_US
dc.typeArticleen_US
dc.identifier.volume15en_US
dc.identifier.issue3en_US
dc.identifier.startpage3267
dc.identifier.startpage3267en_US
dc.identifier.endpage3282en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.identifier.scopus2-s2.0-3142663403en_US
dc.identifier.scopusqualityQ3-
dc.ownerPamukkale_University-
item.openairetypeArticle-
item.fulltextNo Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.languageiso639-1tr-
crisitem.author.dept10.02. Civil Engineering-
Appears in Collections:Mühendislik Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Show simple item record



CORE Recommender

SCOPUSTM   
Citations

11
checked on Sep 1, 2024

Page view(s)

54
checked on Aug 24, 2024

Google ScholarTM

Check





Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.