Title :
Support Vector Regression Model for Measuring the Permittivity of Asphalt Concrete
Author :
Meng, Jicheng ; Gao, Yuanci ; Shi, Yue
Author_Institution :
Univ. of Electron. Sci. & Technol. of China, Chengdu
Abstract :
The support vector regression (SVR) model for waveguide method of measuring the permittivity of asphalt concrete is presented in this letter. To validate the SVR model, simulated and measured data are employed. The training and testing data for the simulated SVR model are obtained by the reflection coefficient expression. While the testing data for the measured SVR model is obtained by HFSS. Experimental results suggest that the SVR model has a better performance in predicting the permittivity among microwave band. This SVR model could be applied to microwave industry as a kind of permittivity measurement tool.
Keywords :
asphalt; concrete; microwave materials; permittivity measurement; regression analysis; support vector machines; waveguides; asphalt concrete; permittivity measurement tool; reflection coefficient expression; support vector regression model; waveguide method; Asphalt; Concrete; Electromagnetic heating; Permittivity measurement; Predictive models; Rectangular waveguides; Reflection; Support vector machine classification; Support vector machines; Testing; Asphalt concrete; permittivity; rectangular waveguide; reflection coefficient (S11); support vector regression (SVR);
Journal_Title :
Microwave and Wireless Components Letters, IEEE
DOI :
10.1109/LMWC.2007.910462
