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

dc.contributor.author	Martínez Álvarez, David
dc.contributor.author	Las Heras Andrés, Fernando Luis
dc.contributor.author	González Ayestarán, Rafael
dc.date.accessioned	2014-02-12T11:32:49Z
dc.date.available	2014-02-12T11:32:49Z
dc.date.issued	2007
dc.identifier.citation	Progress in Electromagnetics Research, 69, p. 247-255 (2007); doi:10.2528/PIER06122105
dc.identifier.issn	1070-4698
dc.identifier.uri	http://hdl.handle.net/10651/22171
dc.identifier.uri	http://jpier.org/pier/pier.php?paper=06122105
dc.description.abstract	When 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.extent	p. 247-255
dc.language.iso	eng
dc.relation.ispartof	Progress in Electromagnetics Research, 69
dc.rights	© EMW Publishing
dc.rights	CC Reconocimiento - No comercial - Sin obras derivadas 4.0 Internacional
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.title	Fast methods for evaluating the electric field level in 2D-indoor environments
dc.type	journal article
dc.identifier.doi	10.2528/PIER06122105
dc.rights.accessRights	open access

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