Artificial Neural Network Models for the Gap Discontinuities in Stripline Circuits

被引：4

作者：

Bing-Zhong Wang

Jingsong Hong

机构：

[1] University of Electronic Science and Technology of China,Institute of Applied Physics

来源：

International Journal of Infrared and Millimeter Waves | 2000年 / 21卷

关键词：

Neural Network; Microwave; Training Data; Artificial Neural Network; Network Model;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Gap discontinuities appear in many stripline circuits, such as the multilayer microwave monolithic ICs and the interconnect systems in high-speed digital circuits. In this paper, a multilayer perceptron neural network (MLPNN) is used to model the gap discontinuities in stripline circuits. The MLPNN is electromagnetically developed with a set of training data that are produced by the full-wave finite-difference time-domain (FDTD) method. The full-factor design of experiments is used for determining the size of the training data.

引用

页码：677 / 688

页数：11

共 6 条

[1]

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[2]

Gupta K. C.(1997)The application of neural networks to EM-based simulation and optimization of interconnects in high-speed VLSI circuits IEEE Trans. Microwave Theory Tech. 45 712-723

[3]

Veluswami A.(1997)Artificial neural networks for fast and accurate EM-CAD of microwave circuits IEEE Trans. Microwave Theory Tech. 45 794-802

[4]

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[5]

Zhang Q. J.(undefined)undefined undefined undefined undefined-undefined

[6]

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