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IMPLEMENTATION OF AN MS EXCEL TOOL FOR BACKPROPAGATION NEURAL NETWORK ALGORITHM IN ENVIRONMENTAL ENGINEERING EDUCATION

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dc.contributor.authorDemir, Selami
dc.contributor.authorManav Demir, Neslihan
dc.contributor.authorKaradeniz, Aykut
dc.contributor.authorCivelek Yoruklu, Hulya
dc.date.accessioned2026-06-27T14:11:01Z
dc.date.issued2018
dc.description.abstractThis paper presents the implementation of an MS Excel tool for backpropagation neural networks in environmental engineering education. A number of test cases, Darcy friction factor and oxygen solubility, were also provided to test the performance of the tool. Relative mean square errors and coefficients of determination for Darcy friction factor were calculated as 1.53*10(-3)+/- 0.59*10(-3) and 0.9983 +/- 0.0003 while they were calculated as 4.78*10(-4)+/- 2.33*10(-4) and 0.9998 +/- 0.0000 for oxygen solubility. Results suggested that the tool's performance is satisfactory. The tool produces satisfactorily fast and reliable results and can be used for environmental education in undergraduate/graduate level.en
dc.identifier.eissn1304-7191
dc.identifier.endpage260
dc.identifier.issn1304-7205
dc.identifier.issue1
dc.identifier.startpage251
dc.identifier.urihttps://hdl.handle.net/20.500.14981/57666
dc.identifier.volume36
dc.identifier.wos000432662200018
dc.language.isoeng
dc.publisherYILDIZ TECHNICAL UNIV
dc.relation.ispartofSIGMA JOURNAL OF ENGINEERING AND NATURAL SCIENCES-SIGMA MUHENDISLIK VE FEN BILIMLERI DERGISI
dc.subjectEnvironmental modeling
dc.subjecteducation
dc.subjectneural networks
dc.subjectvisual basic for applications
dc.subjectMODEL
dc.subjectEngineering
dc.titleIMPLEMENTATION OF AN MS EXCEL TOOL FOR BACKPROPAGATION NEURAL NETWORK ALGORITHM IN ENVIRONMENTAL ENGINEERING EDUCATION
dc.typeArticle
dspace.entity.typePublication
local.import.sourceWOS

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