Synthesis of passive-dipole arrays with a genetic-neural hybrid method

被引：20
|
作者：
Ayestaran, R. G. [1 ]
Laviada, J. [1 ]
Las-Heras, F. [1 ]
机构：
[1] Univ Oviedo, Dept Elect Engn, Asturias 33203, Spain
来源：
JOURNAL OF ELECTROMAGNETIC WAVES AND APPLICATIONS | 2006年 / 20卷 / 15期
关键词：
D O I：
10.1163/156939306779322549
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：
Neural networks and genetic algorithms are combined in a new hybrid technique able to perform synthesis tasks over passive-element antenna arrays, whose radiation pattern is defined by the coupling effects between the active and passive elements. The combination of both methods improves the results obtained using neural networks, also reducing the computation time required by genetic algorithms. Some significant results are presented.
引用
收藏
页码：2123 / 2135
页数：13
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