Artificial neural network (ANN) models for determining hydraulic conductivity of compacted fine-grained soils

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dc.contributor.authorErzin Y.
dc.contributor.authorGumaste S.D.
dc.contributor.authorGupta A.K.
dc.contributor.authorSingh D.N.
dc.date.accessioned2024-07-22T08:21:42Z
dc.date.available2024-07-22T08:21:42Z
dc.date.issued2009
dc.description.abstractThis study deals with development of artificial neural networks (ANNs) and multiple regression analysis (MRA) models for determining hydraulic conductivity of fine-grained soils. To achieve this, conventional falling-head tests, oedometer falling-head tests, and centrifuge tests were conducted on silty sand and marine clays compacted at different dry densities and moisture contents. Further, results obtained from ANN and MRA models were compared vis-à-vis experimental results. The performance indices such as the coefficient of determination, root mean square error, mean absolute error, and variance were used to assess the performance of these models. The ANN models exhibit higher prediction performance than the MRA models based on their performance indices. It has been demonstrated that the ANN models developed in the study can be employed for determining hydraulic conductivity of compacted fine-grained soils quite efficiently. © 2009 NRC Canada.
dc.identifier.DOI-ID10.1139/T09-035
dc.identifier.issn00083674
dc.identifier.urihttp://akademikarsiv.cbu.edu.tr:4000/handle/123456789/18746
dc.language.isoEnglish
dc.subjectBackpropagation
dc.subjectCentrifugation
dc.subjectCentrifuges
dc.subjectClay minerals
dc.subjectHydraulic conductivity
dc.subjectNeural networks
dc.subjectRegression analysis
dc.subjectSoils
dc.subjectTesting
dc.subjectArtificial neural network models
dc.subjectArtificial neural networks
dc.subjectCentrifuge modeling
dc.subjectCentrifuge tests
dc.subjectCoefficient of determination
dc.subjectDry density
dc.subjectFalling-head tests
dc.subjectFine grained soil
dc.subjectFine-grained soils
dc.subjectMarine clays
dc.subjectMean absolute error
dc.subjectMoisture contents
dc.subjectMultiple regression analysis
dc.subjectOedometers
dc.subjectPerformance indices
dc.subjectPrediction performance
dc.subjectRoot mean square errors
dc.subjectSilty sands
dc.subjectartificial neural network
dc.subjectcentrifugal model test
dc.subjectcompacted sediment
dc.subjectdry density
dc.subjecterror analysis
dc.subjectfine grained sediment
dc.subjecthydraulic conductivity
dc.subjectmoisture content
dc.subjectmultiple regression
dc.subjectoedometer test
dc.subjectsilty clay
dc.subjectvariance analysis
dc.subjectGeologic models
dc.titleArtificial neural network (ANN) models for determining hydraulic conductivity of compacted fine-grained soils
dc.typeArticle

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