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

^*此作品的通讯作者

Beijing University of Posts and Telecommunications
Southeast University, Nanjing

科研成果: 期刊稿件 › 文章 › 同行评审

4 引用（Scopus）

摘要

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.

源语言	英语
页（从-至）	541-546
页数	6
期刊	International Journal of Infrared and Millimeter Waves
卷	28
期	7
DOI	https://doi.org/10.1007/s10762-007-9227-7
出版状态	已出版 - 7月 2007
已对外发布	是

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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.",

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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

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

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