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

K. C. Lee

doi:10.1163/156939303322519838

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

K. C. Lee

Department of Systems and Naval Mechatronic Engineering

Research output: Contribution to journal › Article › peer-review

13 Citations (Scopus)

Abstract

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.

Original language	English
Pages (from-to)	1217-1223
Number of pages	7
Journal	Journal of Electromagnetic Waves and Applications
Volume	17
Issue number	8
DOIs	https://doi.org/10.1163/156939303322519838
Publication status	Published - 2003 Aug 6

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
General Physics and Astronomy
Electrical and Electronic Engineering

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10.1163/156939303322519838

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

Abstract

All Science Journal Classification (ASJC) codes

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