Optimized Artificial Neural Network for reflectarray cell modelling

被引：0
|
作者：
Richard, V. [1 ]
Loison, R. [1 ]
Gillard, R. [1 ]
Legay, H. [2 ]
Romier, M. [3 ]
机构：
[1] Inst Elect & Telecommun Rennes, Rennes, France
[2] Thales Alenia Space, Toulouse, France
[3] Ctr Natl Etud Spatiale, Toulouse, France
来源：
2016 IEEE ANTENNAS AND PROPAGATION SOCIETY INTERNATIONAL SYMPOSIUM | 2016年
关键词：
Reflectarrays; Artificial Neural Networks (ANNs);
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：
This paper proposes a design methodology to optimize Artificial Neural Networks (ANN) modelling reflectarray cell. It is applied to a Phoenix cell with 5 inputs parameters. The results demonstrate that the final ANN model is reliable and accurate with an average phase error of 1,4 degrees.
引用
收藏
页码：1211 / 1212
页数：2
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