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- Title
New approach based on ANN and RBF for analyzing the spatial distribution of electromagnetic field from an exposure standpoint.
- Authors
Pachón-García, F.; Jiménez-Barco, A.; Paniagua-Sánchez, J.; Rufo-Pérez, M.
- Abstract
This paper shows the versatility of artificial neural networks (ANN) and radial basis functions (RBF) applied to electromagnetic analyses with Medium Wave samples. A new approach is given from an exposure point of view, analyzing field levels in wide areas. In particular supervised ANN are used to distinguish electromagnetic field areas, if levels are above or below a certain threshold. The novel application Electric-Frontier ANN (EF-ANN) allows us to compare the performances of different neural network topologies (linear and recurrent), and it also gives us the possibility to create maps via geographic information systems (GISs). Furthermore another designed application, Electric-Interpolation RBF (EI-RBF), is used to obtain interpolated maps of electric field levels in the environment under study, with excellent performances, and having the possibility of overlapping the results with the local cartography in GIS. The interest of these developed tools is to identify the areas where the levels are higher from an exposure standpoint, and to know how the distribution of levels is in a real environment, but using exclusively experimental samples which are more reliable than simulations.
- Subjects
ARTIFICIAL neural networks; RADIAL basis functions; ELECTROMAGNETIC fields; STANDPOINT theory (Communication); GEOGRAPHIC information systems; SIMULATION methods &; models
- Publication
Neural Computing & Applications, 2014, Vol 25, Issue 6, p1479
- ISSN
0941-0643
- Publication type
Article
- DOI
10.1007/s00521-014-1638-5