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

dc.contributor.author	Rajanayaka, Channa N.
dc.contributor.author	Samarasinghe, Sandhya
dc.contributor.author	Kulasiri, D.
dc.date.accessioned	2009-04-09T03:53:27Z
dc.date.issued	2002-04
dc.description.abstract		en
dc.identifier.issn	1174-6696	en
dc.identifier.uri	https://hdl.handle.net/10182/990
dc.language.iso	en
dc.publisher	Lincoln University. Applied Computing, Mathematics and Statistics Group
dc.relation	The original publication is available from - Lincoln University. Applied Computing, Mathematics and Statistics Group	en
dc.subject	hydrology	en
dc.subject	artificial neural networks	en
dc.subject	groundwater	en
dc.subject	parameter estimation	en
dc.subject	solute transport	en
dc.subject	stochastic modelling	en
dc.subject.marsden	Marsden::260501 Groundwater hydrology
dc.subject.marsden	Marsden::230202 Stochastic analysis and modelling
dc.title	A hybrid artificial neural networks approach to solve the inverse problem in advection-dispersion models	en
dc.type	Monograph
lu.contributor.unit	Lincoln University
lu.contributor.unit	Faculty of Agriculture and Life Sciences
lu.contributor.unit	Faculty of Environment, Society and Design
lu.contributor.unit	Department of Environmental Management
lu.identifier.orcid	0000-0003-2943-4331
pubs.publication-status	Published	en