The Neural Network Model of Microstrip Discontinuity

吴文; 杨铨让; 顾虹; 周建义

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The Neural Network Model of Microstrip Discontinuity

更新时间：2025-12-08

- The Neural Network Model of Microstrip Discontinuity
- Acta Electronica Sinica Issue 11, (1996)
- 作者机构：
  
  东南大学毫米波国家重点实验室
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP18
- Published：1996
- 稿件说明：
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[1]吴文,杨铨让,顾虹,周建义.微带不连续性的神经网络模型[J].电子学报,1996(11):85-87.

吴文, 杨铨让, 顾虹, et al. The Neural Network Model of Microstrip Discontinuity[J]. Acta Electronica Sinica, 1996, (11).
[1]吴文,杨铨让,顾虹,周建义.微带不连续性的神经网络模型[J].电子学报,1996(11):85-87. DOI：

吴文, 杨铨让, 顾虹, et al. The Neural Network Model of Microstrip Discontinuity[J]. Acta Electronica Sinica, 1996, (11). DOI：

摘要

本文采用多层感知器建立了微带不连续性的神经网络模型。把微带不连续性尺寸和频率作为输入样本，不连续性的Ｓ参数作为输出样本，采用ＢＰ算法对多层感知器进行训练。当多层感知器训练完成，在学习范围内将微带不连续电路尺寸和频率输入到多层感知器，从输出端立即得到准确的Ｓ参数。

Abstract

The multi-layer perceptron is introduced to charcacterize the microstrip discontinuity by describing s-parameters.The size of the microstrip and the frequency are defined as the input samples of the multi-layer perceptron

and the S-parameters are determined as the desired output samples.As the perceptron has been trained with the back propagation algorithm

the S-parameters of the microstrip at any arbitrary sizes and frequencies can be obtained quickly from the perceptron.

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