Millimeter-wave micromachined filter design by artificial neural network modeling technique

Xiu Ping Li; Jian Jun Gao

doi:10.1007/s10762-007-9227-7

Millimeter-wave micromachined filter design by artificial neural network modeling technique

Xiu Ping Li^*
, Jian Jun Gao

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

4 Scopus citations

Abstract

This paper presents a design approach for a 34 GHz λ/2 resonator micormachined 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
Pages (from-to)	541-546
Number of pages	6
Journal	International Journal of Infrared and Millimeter Waves
Volume	28
Issue number	7
DOIs	https://doi.org/10.1007/s10762-007-9227-7
State	Published - Jul 2007
Externally published	Yes

Keywords

Artificial neural network
Micromachined filter
Millimeter wave

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10.1007/s10762-007-9227-7

Cite this

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title = "Millimeter-wave micromachined filter design by artificial neural network modeling technique",

abstract = "This paper presents a design approach for a 34 GHz λ/2 resonator micormachined 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, Micromachined filter, Millimeter wave",

author = "Li, \{Xiu Ping\} and Gao, \{Jian Jun\}",

year = "2007",

month = jul,

doi = "10.1007/s10762-007-9227-7",

language = "英语",

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journal = "International Journal of Infrared and Millimeter Waves",

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AU - Li, Xiu Ping

AU - Gao, Jian Jun

PY - 2007/7

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N2 - This paper presents a design approach for a 34 GHz λ/2 resonator micormachined 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 34 GHz λ/2 resonator micormachined 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 - Micromachined filter

KW - Millimeter wave

UR - https://www.scopus.com/pages/publications/34249857928

U2 - 10.1007/s10762-007-9227-7

DO - 10.1007/s10762-007-9227-7

M3 - 文章

AN - SCOPUS:34249857928

SN - 0195-9271

VL - 28

SP - 541

EP - 546

JO - International Journal of Infrared and Millimeter Waves

JF - International Journal of Infrared and Millimeter Waves

IS - 7

ER -

Millimeter-wave micromachined filter design by artificial neural network modeling technique

Abstract

Keywords

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