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Printed dipole antenna design using artificial neural network modeling for RFID application
Author(s) -
Li Xiuping,
Gao Jianjun,
Boeck Georg
Publication year - 2006
Publication title -
international journal of rf and microwave computer‐aided engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.335
H-Index - 39
eISSN - 1099-047X
pISSN - 1096-4290
DOI - 10.1002/mmce.20183
Subject(s) - artificial neural network , antenna (radio) , dipole antenna , microwave , computer science , electronic engineering , engineering , artificial intelligence , telecommunications
An approach to printed dipole antenna design using the artificial neural network (ANN) modeling technique is presented in this article. Three important antenna‐layout 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. © 2006 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2006.