A Heuristic Artificial Neural Network for Analyzing and synthesizing Rectangular Microstrip Antenna

被引：0
|
作者：
Naser-Moghaddasi, M. [1 ]
Barjoei, Pouya Derakhshan [2 ]
Naghsh, Alireza [3 ]
机构：
[1] Islamic Azad Univ, Cent Commiss Sci Literacy & Art Soc, Sci & Res Branch, Tehran, Iran
[2] Islamic Azad Univ, Dept Elect Engn, Naein Branch, Tehran, Iran
[3] Islamic Azad Univ, Dept Elect Engn, Najaf Abad Branch, Tehran, Iran
来源：
INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY | 2007年 / 7卷 / 12期
关键词：
Rectangular micostrip antenna; Neural network; Resonant frequency;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, both the synthesis and analysis of rectangular microstrip antenna models based on the artificial neural networks are presented to calculate accurately the resonant frequency of the rectangular microstrip antennas. Artificial neural networks are developed from neurophysiology by morphologically and computationally mimicking human brains The resonant frequency results obtained by using rectangular microstrip antenna characteristics and neural network models are very good agreement with the experimental results available in the literature. this paper presents a Multilayer Perceptron (MLP) modular neural network, training with the Resilient Back propagation algorithm which has been used for nonlinear device modeling in microwave band
引用
收藏
页码：278 / 281
页数：4
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