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

页码：1211 / 1212

页数：2

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