Application of support vector machines to the antenna design | Zendy

Zheng Z. | Zendy; Chen X. | Zendy; Huang K. | Zendy

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Application of support vector machines to the antenna design

Author(s) -

Zheng Z.,

Chen X.,

Huang K.

Publication year - 2011

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.20491

Subject(s) - support vector machine , antenna (radio) , computer science , generalization , structural risk minimization , patch antenna , electronic engineering , minification , computer engineering , machine learning , engineering , telecommunications , mathematics , world wide web , mathematical analysis

The antenna design is a complicated and time‐consuming procedure. This work explores using support vector machines (SVMs), a statistical learning theory based on the structural risk minimization principle and has a great generalization capability, as a fast and accurate tool in the antenna design. As examples, SVMs is used to design a rectangular patch antenna and a rectangular patch antenna array. Results show, after an appropriate training, SVMs is able to effectively design antennas with high accuracy. © 2010 Wiley Periodicals, Inc. Int J RF and Microwave CAE, 2011.

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