Title :
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
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;
Conference_Titel :
Antennas and Propagation Society International Symposium (APSURSI), 2012 IEEE
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4673-0461-0
DOI :
10.1109/APS.2012.6349222
