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Fast methods for evaluating the electric field level in 2D-indoor environments

dc.contributor.authorMartínez Álvarez, David 
dc.contributor.authorLas Heras Andrés, Fernando Luis 
dc.contributor.authorGonzález Ayestarán, Rafael 
dc.date.accessioned2014-02-12T11:32:49Z
dc.date.available2014-02-12T11:32:49Z
dc.date.issued2007
dc.identifier.citationProgress in Electromagnetics Research, 69, p. 247-255 (2007); doi:10.2528/PIER06122105
dc.identifier.issn1070-4698
dc.identifier.urihttp://hdl.handle.net/10651/22171
dc.identifier.urihttp://jpier.org/pier/pier.php?paper=06122105
dc.description.abstractWhen estimating the electric field level in an indoor environment, the usual complexity of the geometry and its large electric size make it necessary to deal with asymptotic assumptions, also known as high frequency techniques. But, even with these assumptions, the computational complexity, and the CPU-time cost, can be very high. Considering this drawback, this paper proposes the implementation of a "Neural Networks System" for fast calculations of the Electric field in 2D-indoor environments
dc.format.extentp. 247-255
dc.language.isoeng
dc.relation.ispartofProgress in Electromagnetics Research, 69
dc.rights© EMW Publishing
dc.rightsCC Reconocimiento - No comercial - Sin obras derivadas 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.titleFast methods for evaluating the electric field level in 2D-indoor environments
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.2528/PIER06122105
dc.type.dcmitext


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