Title :
Design of cylindrical posts in rectangular waveguide by neural network approach
Author :
Fedi, G. ; Manetti, S. ; Pelosi, G. ; Selleri, S.
Author_Institution :
Dept. of Electron. & Telecommun., Florence Univ., Italy
Abstract :
Full wave analysis of cylindrical posts in rectangular waveguide for antenna networks is in this paper replaced with a properly trained artificial neural network. The network is able to give an accurate description of the post behaviour at a given frequency in real time, whereas the full wave simulator would take several minutes. This will be of great importance in synthesis problem.
Keywords :
antenna feeds; digital simulation; electrical engineering computing; learning (artificial intelligence); microwave filters; multilayer perceptrons; rectangular waveguides; waveguide filters; antenna feeding network; antenna receiving network; cylindrical posts; frequency; full wave analysis; full wave simulator; microwave waveguide filter; multilayer perceptron; post behaviour; rectangular waveguide; synthesis problem; trained artificial neural network; Artificial neural networks; Circuit simulation; Circuit synthesis; Frequency estimation; Geometry; Intelligent networks; Microwave filters; Network synthesis; Neural networks; Rectangular waveguides;
Conference_Titel :
Antennas and Propagation Society International Symposium, 2000. IEEE
Conference_Location :
Salt Lake City, UT, USA
Print_ISBN :
0-7803-6369-8
DOI :
10.1109/APS.2000.875403
