Title :
An artificial neural network for the analysis of profiled corrugated circular horns
Author :
Fedi, G. ; Giomi, R. ; Giustini, M. ; Nesti, R. ; Pelosi, G. ; Selleri, S.
Author_Institution :
Dept. of Electron. Eng., Florence Univ., Italy
Abstract :
An artificial neural network (ANN) analysis of profiled corrugated circular horns is proposed. This technique allows, on the basis of a reduced number of full-wave analysis, for the supervised learning of an ANN able to interpolate accurate results for a large class of horns. The performances in computing time of the ANN are far better than those of the full-wave analysis, and its memory requirements are far lower allowing for the ANN to run on any computer.
Keywords :
antenna theory; electrical engineering computing; horn antennas; interpolation; learning (artificial intelligence); neural nets; ANN analysis; artificial neural network; full-wave analysis; memory requirements; profiled corrugated circular horns; supervised learning; Antenna feeds; Apertures; Artificial neural networks; Horn antennas; Lenses; Manufacturing; Modems; Polarization; Reflector antennas; Supervised learning;
Conference_Titel :
Antennas and Propagation Society International Symposium, 1999. IEEE
Conference_Location :
Orlando, FL, USA
Print_ISBN :
0-7803-5639-x
DOI :
10.1109/APS.1999.789342
