Analysis and Synthesis of Sierpinski Gasket Fractal Antenna using ANFIS

被引：0
|
作者：
Gehani, Aarti [1 ]
Agnihotri, Prashasti [1 ]
Pujara, Dhaval [1 ]
机构：
[1] Nirma Univ, Inst Technol, Dept Elect & Commun Engn, Ahmadabad 382481, Gujarat, India
来源：
2017 IEEE INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION & USNC/URSI NATIONAL RADIO SCIENCE MEETING | 2017年
关键词：
adaptive neuro-fuzzy inference system; fractal antenna; optimization; FUZZY INFERENCE SYSTEM; PERFORMANCE; NETWORK;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The paper utilizes adaptive neuro-fuzzy inference system to analyze and synthesize multiband Sierpinski gasket fractal antenna. The geometrical parameters of the antenna were considered as the input and the resonant frequencies were taken as the output for the analysis model while a reverse process was followed for the synthesis model. Also, a model was trained to obtain the return loss characteristics for the given set of geometrical parameters. The output of all the proposed models are compared with that of HFSS and both of them are found in close agreement.
引用
收藏
页码：353 / 354
页数：2
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