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dc.contributor.authorLamorski, Krzysztof-
dc.contributor.authorSławiński, Cezary-
dc.contributor.authorMoreno Lucas, Félix-
dc.contributor.authorSkierucha, Wojciech-
dc.contributor.authorArrúe Ugarte, José Luis-
dc.date.accessioned2014-02-04T08:55:22Z-
dc.date.available2014-02-04T08:55:22Z-
dc.date.issued2011-05-
dc.identifier.citationInternational Conference on "Agrophysics for Quality of Life" (Lublin, Poland. 31st May - 3rd June, 2011)es_ES
dc.identifier.urihttp://hdl.handle.net/10261/90361-
dc.description1 copia .pdf (15 Pags., with Figs. y Tabls.) de la presentación orginal de los autores en el Congreso Internacional.es_ES
dc.description.abstractThe idea of the soft-computing Soft-computing models: * based on the data learning, * does not provide analytical solution of the problem,solutions are by by de nition inexact and approximate, * allow for modelling of the properties or behaviour of the complex systems without deep insight, * gives speci c solution for currently modelled phenomenon. Classical models: * based on full physical-mathematical modelling, * described by some class of exact mathematical equations, * often expensive in the sense resources utilised for solving the problem (computing time), * universal for the given phenomenon described.es_ES
dc.language.isoenges_ES
dc.rightsopenAccesses_ES
dc.titleSoft-computing techniques in soil hydrological parameters modellinges_ES
dc.typepresentaciónes_ES
dc.description.peerreviewedPeer reviewedes_ES
item.grantfulltextopen-
item.cerifentitytypePublications-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en-
item.fulltextWith Fulltext-
item.openairetypepresentación-
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