Mutual coupling analyses of antenna arrays by neural network models with radial basis functions

研究成果: Article同行評審

13 引文 斯高帕斯(Scopus)

摘要

In this paper, the neural network model with radial basis functions (RBF-NN) is applied to the mutual coupling analyses of antenna arrays. Initially, the RBF-NN is trained by data sets calculated from the moment methods. Numerical examples show that the results predicted by the trained RBF-NN are consistent with those calculated from the moment methods. The trained RBF-NN is useful in the application of antenna arrays.

原文English
頁(從 - 到)1217-1223
頁數7
期刊Journal of Electromagnetic Waves and Applications
17
發行號8
DOIs
出版狀態Published - 2003 8月 6

All Science Journal Classification (ASJC) codes

  • 電子、光磁材料
  • 物理與天文學 (全部)
  • 電氣與電子工程

指紋

深入研究「Mutual coupling analyses of antenna arrays by neural network models with radial basis functions」主題。共同形成了獨特的指紋。

引用此