A hybrid artificial neural networks approach to solve the inverse problem in advection-dispersion models

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dc.contributor.authorRajanayaka, C
dc.contributor.authorSamarasinghe, Sandhya
dc.contributor.authorKulasiri, D
dc.date.accessioned2009-04-09T03:53:27Z
dc.date.issued2002-04
dc.description.abstract
dc.identifier.issn1174-6696
dc.identifier.urihttps://hdl.handle.net/10182/990
dc.language.isoen
dc.publisherLincoln University. Applied Computing, Mathematics and Statistics Group
dc.relationThe original publication is available from Lincoln University. Applied Computing, Mathematics and Statistics Group
dc.subjecthydrology
dc.subjectartificial neural networks
dc.subjectgroundwater
dc.subjectparameter estimation
dc.subjectsolute transport
dc.subjectstochastic modelling
dc.subject.marsdenMarsden::260501 Groundwater hydrology
dc.subject.marsdenMarsden::230202 Stochastic analysis and modelling
dc.titleA hybrid artificial neural networks approach to solve the inverse problem in advection-dispersion models
dc.typeOther
dspace.entity.typePublication
lu.contributor.unitLincoln University
lu.contributor.unitFaculty of Environment, Society and Design
lu.contributor.unitSchool of Landscape Architecture
lu.identifier.orcid0000-0003-2943-4331
pubs.publication-statusPublished
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