Bandpass filter design by artificial neural network modeling

被引：0

作者：

Li, Xiuping ^{[1
]}

Gao, Jianjun ^{[1
]}

Yook, Jong-Gwan ^{[1
]}

Chen, Xiaodong ^{[1
]}

机构：

[1] Beijing Univ Posts & Telecommun, Sch Telecommun Engn, Beijing, Peoples R China

来源：

2005 ASIA-PACIFIC MICROWAVE CONFERENCE PROCEEDINGS, VOLS 1-5 | 2005年

关键词：

bandpass filter; artificial neural network;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper presents a design approach for a lambda/2 resonator bandpass filter by using the artificial neural network (ANN) modeling technique. Three important dimensions of the filter layout are used to capture critical input-output relationships in the ANN model. Once fully developed, the ANN model has been shown to be as accurate as an EM simulator and much more efficient computationally in the design optimization of the filter.

引用

页码：713 / 716

页数：4

共 6 条

[1]

BLONDY DCP, IEEE T MICROWAVE THE, V46, P2283

[2] Slow-wave bandpass filters using ring or stepped-impedance hairpin resonators [J].

Hsieh, LH ;

Chang, K .

IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, 2002, 50 (07) :1795-1800

[3]

LI X, 2004, ICCEA2004, P488

[4]

LI XP, IN PRESS INT J ELECT

[5] MINIATURIZED HAIRPIN RESONATOR FILTERS AND THEIR APPLICATION TO RECEIVER FRONT-END MICS [J].

SAGAWA, M ;

TAKAHASHI, K ;

MAKIMOTO, M .

IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, 1989, 37 (12) :1991-1997

[6] Artificial neural networks for RF and microwave design - From theory to practice [J].

Zhang, QJ ;

Gupta, KC ;

Devabhaktuni, VK .

IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, 2003, 51 (04) :1339-1350

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