A neural-network-based model for 2D microwave imaging of cylinders

Kun Chou Lee

doi:10.1002/mmce.20026

A neural-network-based model for 2D microwave imaging of cylinders

Kun Chou Lee

系統及船舶機電工程學系

研究成果: Article › 同行評審

15 引文斯高帕斯（Scopus）

摘要

In this article, a neural network with radial-basis functions (RBF-NN) is applied to microwave imaging of cylinders. Initially, the shape function of the target cylinder is expanded by a Fourier series. The RBF-NN is trained by some direct-scattering data sets and thus can predict the images of the target cylinders.

原文	English
頁（從 - 到）	398-403
頁數	6
期刊	International Journal of RF and Microwave Computer-Aided Engineering
卷	14
發行號	5
DOIs	https://doi.org/10.1002/mmce.20026
出版狀態	Published - 2004 9月

All Science Journal Classification (ASJC) codes

電腦科學應用
電腦繪圖與電腦輔助設計
電氣與電子工程

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10.1002/mmce.20026

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引用此

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AB - In this article, a neural network with radial-basis functions (RBF-NN) is applied to microwave imaging of cylinders. Initially, the shape function of the target cylinder is expanded by a Fourier series. The RBF-NN is trained by some direct-scattering data sets and thus can predict the images of the target cylinders.

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A neural-network-based model for 2D microwave imaging of cylinders

摘要

All Science Journal Classification (ASJC) codes

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指紋

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