Research on Amplifier Performance Evaluation Based on δ-Support Vector Regression
Joint Authors
Huo, Xing
Zhang, Aihua
Karimi, Hamid Reza
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-03
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
Focusing on the amplifier performance evaluation demand, a novel evaluation strategy based on δ-support vector regression (δ-SVR) is proposed in this paper.
Lower computer calculation demand is considered firstly.
And this is dealt with by the superiority of δ-SVR which can be significantly improved on the number of support vectors.
Moreover, the function of δ-SVR employs the modified RBF kernel function which is constructed from an original kernel by removing the last coordinate and adding the linear term with the last coordinate.
Experiment adopted the typical circuit Sallen-Key low pass filter to prove the proposed evaluation strategy via the eight performance indexes.
Simulation results reveal that the need of the number of δ-SVR support vectors is the lowest among the other two methods LSSVR and ε-SVR under obtaining nearly the same evaluation result.
And this is also suitable for promotion computational speed.
American Psychological Association (APA)
Huo, Xing& Zhang, Aihua& Karimi, Hamid Reza. 2014. Research on Amplifier Performance Evaluation Based on δ-Support Vector Regression. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-1014249
Modern Language Association (MLA)
Huo, Xing…[et al.]. Research on Amplifier Performance Evaluation Based on δ-Support Vector Regression. Abstract and Applied Analysis No. 2014 (2014), pp.1-6.
https://search.emarefa.net/detail/BIM-1014249
American Medical Association (AMA)
Huo, Xing& Zhang, Aihua& Karimi, Hamid Reza. Research on Amplifier Performance Evaluation Based on δ-Support Vector Regression. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-6.
https://search.emarefa.net/detail/BIM-1014249
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1014249