Direct-coupled cavity filters design using a hybrid feedforward neural network-finite elements procedure

被引：0

作者：

Fedi, G ^{[1
]}

Gaggelli, A ^{[1
]}

Manetti, S ^{[1
]}

Pelosi, G ^{[1
]}

机构：

[1] Univ Florence, Dept Elect Engn, I-50131 Florence, Italy

来源：

INTERNATIONAL JOURNAL OF RF AND MICROWAVE COMPUTER-AIDED ENGINEERING | 1999年 / 9卷 / 03期

关键词：

microwave filters; neural networks; finite elements method;

D O I：

10.1002/(SICI)1099-047X(199905)9:3<287::AID-MMCE12>3.0.CO;2-#

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In many filtering applications, direct-coupled cavity filters are often used for their symmetry and handling easiness. In this paper, a method is described for the design of these filtering devices by using an artificial neural network (ANN). Starting from design requirements, the procedure discussed herein directly determines the geometric dimensions of the filtering device with good accuracy and very short processing time. (C) 1999 John Wiley & Sons, Inc.

引用

页码：287 / 296

页数：10

共 12 条

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