抽象的

DESIGN OF RECTANGULAR PATCH ANTENNA USING MLP ARTIFICIAL NEURAL NETWORK

P. Kala, Rohini Saxena, Mukesh kumar2,Ani Kumar, Reena Pant

This paper presents the designing of a rectangular microstrip antenna using Multi Layer Preceptron (MLP) neural network model. The model was trained for 40 set of input-output (length of patch-resonant frequency) parameters. The output error and time delay (no. of epochs) were optimized by changing the learning rate and momentum term. In case of testing the output of the present model (resonant frequency) is found in good agreement with theoretical results.

免责声明: 此摘要通过人工智能工具翻译,尚未经过审核或验证

索引于

谷歌学术
学术期刊数据库
打开 J 门
学术钥匙
研究圣经
引用因子
电子期刊图书馆
参考搜索
哈姆达大学
学者指导
国际创新期刊影响因子(IIJIF)
国际组织研究所 (I2OR)
宇宙

查看更多