Solving the inverse loop antenna radiation problem using a hybrid neuro-fuzzy system

Author

Kapetanakis, Theodoros N. ; Vardiambasis, I.O. ; Liodakis, G.S. ; Maras, A.

Author_Institution

Dept. of Electron., Broadband Commun. & Electromagn. Applic. Lab., Chania, Greece

fYear

2012

fDate

20-22 Nov. 2012

Firstpage

1189

Lastpage

1192

Abstract

This work presents an alternative method, based on artificial techniques, to manipulate the direct and inverse problems of circular loop antenna radiation, using data extracted from their analytical solutions. The adaptive network fuzzy inference system (ANFIS) has been used, as a basis for constructing a set of fuzzy rules with appropriate membership functions in order to obtain the theoretical data. The numerical results for both problems are found to be in excellent agreement with the exact theoretical values.

Keywords

antenna radiation patterns; electrical engineering computing; fuzzy reasoning; fuzzy set theory; loop antennas; ANFIS; adaptive network fuzzy inference system; artificial techniques; circular loop antenna radiation; direct problems; hybrid neurofuzzy system; inverse problems; membership functions; Antennas; Electric fields; Fuzzy logic; Inverse problems; Manganese; Testing; Training; ANFIS; Adaptive neuro fuzzy networks; antenna radiation; circular loop antenna;

fLanguage

English

Publisher

ieee

Conference_Titel

Telecommunications Forum (TELFOR), 2012 20th

Conference_Location

Belgrade

Print_ISBN

978-1-4673-2983-5

Type

conf

DOI

10.1109/TELFOR.2012.6419427

Filename

6419427