Printed dipole antenna design using artificial neural network modeling for RFID application

Xiuping Li; Jianjun Gao; Georg Boeck

doi:10.1002/mmce.20183

Printed dipole antenna design using artificial neural network modeling for RFID application

Xiuping Li^*
, Jianjun Gao
, Georg Boeck

^*Corresponding author for this work

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

12 Scopus citations

Abstract

An approach to printed dipole antenna design using the artificial neural network (ANN) modeling technique is presented in this article. Three important antennalayout dimensions 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 antenna design optimization.

Original language	English
Pages (from-to)	607-611
Number of pages	5
Journal	International Journal of RF and Microwave Computer-Aided Engineering
Volume	16
Issue number	6
DOIs	https://doi.org/10.1002/mmce.20183
State	Published - Nov 2006
Externally published	Yes

Keywords

Artificial neural network
Printed dipole antenna

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10.1002/mmce.20183

Cite this

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title = "Printed dipole antenna design using artificial neural network modeling for RFID application",

abstract = "An approach to printed dipole antenna design using the artificial neural network (ANN) modeling technique is presented in this article. Three important antennalayout dimensions 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 antenna design optimization.",

keywords = "Artificial neural network, Printed dipole antenna",

author = "Xiuping Li and Jianjun Gao and Georg Boeck",

year = "2006",

month = nov,

doi = "10.1002/mmce.20183",

language = "英语",

volume = "16",

pages = "607--611",

journal = "International Journal of RF and Microwave Computer-Aided Engineering",

issn = "1096-4290",

publisher = "John Wiley and Sons Inc",

number = "6",

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TY - JOUR

T1 - Printed dipole antenna design using artificial neural network modeling for RFID application

AU - Li, Xiuping

AU - Gao, Jianjun

AU - Boeck, Georg

PY - 2006/11

Y1 - 2006/11

N2 - An approach to printed dipole antenna design using the artificial neural network (ANN) modeling technique is presented in this article. Three important antennalayout dimensions 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 antenna design optimization.

AB - An approach to printed dipole antenna design using the artificial neural network (ANN) modeling technique is presented in this article. Three important antennalayout dimensions 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 antenna design optimization.

KW - Artificial neural network

KW - Printed dipole antenna

UR - https://www.scopus.com/pages/publications/33750868190

U2 - 10.1002/mmce.20183

DO - 10.1002/mmce.20183

M3 - 文章

AN - SCOPUS:33750868190

SN - 1096-4290

VL - 16

SP - 607

EP - 611

JO - International Journal of RF and Microwave Computer-Aided Engineering

JF - International Journal of RF and Microwave Computer-Aided Engineering

IS - 6

ER -

Printed dipole antenna design using artificial neural network modeling for RFID application

Abstract

Keywords

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