Bandpass filter design by artificial neural network modeling

Xiuping Li; Jianjun Gao; Jong Gwan Yook; Xiaodong Chen

doi:10.1109/APMC.2005.1606362

Bandpass filter design by artificial neural network modeling

Xiuping Li^*
, Jianjun Gao
, Jong Gwan Yook
, Xiaodong Chen

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 Scopus citations

Abstract

This paper presents a design approach for a λ/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.

Original language	English
Title of host publication	APMC 2005
Subtitle of host publication	Asia-Pacific Microwave Conference Proceedings 2005
DOIs	https://doi.org/10.1109/APMC.2005.1606362
State	Published - 2005
Externally published	Yes
Event	APMC 2005: Asia-Pacific Microwave Conference 2005 - Suzhou, China Duration: 4 Dec 2005 → 7 Dec 2005

Publication series

Name	Asia-Pacific Microwave Conference Proceedings, APMC
Volume	2

Conference

Conference	APMC 2005: Asia-Pacific Microwave Conference 2005
Country/Territory	China
City	Suzhou
Period	4/12/05 → 7/12/05

Keywords

Artificial neural network
Bandpass filter

Access to Document

10.1109/APMC.2005.1606362

Cite this

@inproceedings{cc80f534ff134a74878b77a0593266e6,

title = "Bandpass filter design by artificial neural network modeling",

abstract = "This paper presents a design approach for a λ/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.",

keywords = "Artificial neural network, Bandpass filter",

author = "Xiuping Li and Jianjun Gao and Yook, \{Jong Gwan\} and Xiaodong Chen",

year = "2005",

doi = "10.1109/APMC.2005.1606362",

language = "英语",

isbn = "078039433X",

series = "Asia-Pacific Microwave Conference Proceedings, APMC",

booktitle = "APMC 2005",

note = "APMC 2005: Asia-Pacific Microwave Conference 2005 ; Conference date: 04-12-2005 Through 07-12-2005",

}

TY - GEN

T1 - Bandpass filter design by artificial neural network modeling

AU - Li, Xiuping

AU - Gao, Jianjun

AU - Yook, Jong Gwan

AU - Chen, Xiaodong

PY - 2005

Y1 - 2005

N2 - This paper presents a design approach for a λ/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.

AB - This paper presents a design approach for a λ/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.

KW - Artificial neural network

KW - Bandpass filter

UR - https://www.scopus.com/pages/publications/33847222526

U2 - 10.1109/APMC.2005.1606362

DO - 10.1109/APMC.2005.1606362

M3 - 会议稿件

AN - SCOPUS:33847222526

SN - 078039433X

SN - 9780780394339

T3 - Asia-Pacific Microwave Conference Proceedings, APMC

BT - APMC 2005

T2 - APMC 2005: Asia-Pacific Microwave Conference 2005

Y2 - 4 December 2005 through 7 December 2005

ER -

Bandpass filter design by artificial neural network modeling

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this