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Application of support vector machines to the antenna design

โœ Scribed by Z. Zheng; X. Chen; K. Huang

Publisher
John Wiley and Sons
Year
2010
Tongue
English
Weight
248 KB
Volume
21
Category
Article
ISSN
1096-4290

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โœฆ Synopsis

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.

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