Neuro-modelling of CSRR for antenna applications

Author

Pal, D. ; Patnaik, A. ; Sinha, S.N.

Author_Institution

Dept. of Electron. & Comput. Eng., Indian Inst. of Technol. Roorkee, Roorkee, India

fYear

2012

fDate

8-14 July 2012

Firstpage

1

Lastpage

2

Abstract

A neural network (NN) model is developed to map the design dimensions of complementary split ring resonator (CSRR) printed on a specific substrate with its resonant frequency. This trained NN was then used to find the structure of CSRRs to be etched on the ground plane of a patch antenna to obtain size reduction. Because the response of NN is very fast and as it bypasses the repeated use of the simulator, faster versions of CAD models can be developed for metamaterial based planar antennas.

Keywords

CAD; electrical engineering computing; etching; learning (artificial intelligence); metamaterial antennas; microstrip antennas; neural nets; planar antennas; resonators; CAD model; CSRR printing; NN model; antenna application; complementary split ring resonator printing; ground plane etching; metamaterial; neural network model; neuro-modelling; patch antenna; planar antenna; resonant frequency; size reduction; training; Arrays; Artificial neural networks; Optical ring resonators; Patch antennas; Resonant frequency; Substrates;

fLanguage

English

Publisher

ieee

Conference_Titel

Antennas and Propagation Society International Symposium (APSURSI), 2012 IEEE

Conference_Location

Chicago, IL

ISSN

1522-3965

Print_ISBN

978-1-4673-0461-0

Type

conf

DOI

10.1109/APS.2012.6349222

Filename

6349222