Data Mining Techniques in Artificial Neural Network for UWB Antenna Design
Loading...
Date
2018-04
ORCID
Advisor
Referee
Mark
Journal Title
Journal ISSN
Volume Title
Publisher
Společnost pro radioelektronické inženýrství
Altmetrics
Abstract
With data mining techniques for the preprocessing of training patterns, an artificial neural network (ANN) model is proposed for parametric modeling of electromagnetic behavior of ultrawide band (UWB) antennas in this paper. In this ANN method, two data mining techniques, including correlation analysis and data classification based on support vector machine (SVM), are employed to determine geometrical variable inputs and classify the inputs during the training and testing processes. Compared with the traditional ANN, the proposed model with data mining can achieve the trained model with small training datasets and accurate results. The validity and efficiency of this proposed method are confirmed with two band-notched UWB antenna examples.
Description
Citation
Radioengineering. 2018 vol. 27, č. 1, s. 70-78. ISSN 1210-2512
https://www.radioeng.cz/fulltexts/2018/18_01_0070_0078.pdf
https://www.radioeng.cz/fulltexts/2018/18_01_0070_0078.pdf
Document type
Peer-reviewed
Document version
Published version
Date of access to the full text
Language of document
en