Bandpass filter design by artificial neural network modeling

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

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 languageEnglish
Title of host publicationAPMC 2005
Subtitle of host publicationAsia-Pacific Microwave Conference Proceedings 2005
DOIs
Publication statusPublished - 2005 Dec 1
EventAPMC 2005: Asia-Pacific Microwave Conference 2005 - Suzhou, China
Duration: 2005 Dec 42005 Dec 7

Publication series

NameAsia-Pacific Microwave Conference Proceedings, APMC
Volume2

Other

OtherAPMC 2005: Asia-Pacific Microwave Conference 2005
CountryChina
CitySuzhou
Period05/12/405/12/7

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All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Li, X., Gao, J., Yook, J. G., & Chen, X. (2005). Bandpass filter design by artificial neural network modeling. In APMC 2005: Asia-Pacific Microwave Conference Proceedings 2005 [1606362] (Asia-Pacific Microwave Conference Proceedings, APMC; Vol. 2). https://doi.org/10.1109/APMC.2005.1606362