Research on Amplifier Performance Evaluation Based on δ-Support Vector Regression
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...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2014-01-01
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| Series: | Abstract and Applied Analysis |
| Online Access: | http://dx.doi.org/10.1155/2014/574547 |
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| _version_ | 1832548039019986944 |
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| author | Xing Huo Aihua Zhang Hamid Reza Karimi |
| author_facet | Xing Huo Aihua Zhang Hamid Reza Karimi |
| author_sort | Xing Huo |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-24fb1dc7f0104ba19592166fbeed1e92 |
| institution | Kabale University |
| issn | 1085-3375 1687-0409 |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Abstract and Applied Analysis |
| spelling | doaj-art-24fb1dc7f0104ba19592166fbeed1e922025-02-03T06:42:25ZengWileyAbstract and Applied Analysis1085-33751687-04092014-01-01201410.1155/2014/574547574547Research on Amplifier Performance Evaluation Based on δ-Support Vector RegressionXing Huo0Aihua Zhang1Hamid Reza Karimi2College of Engineering, Bohai University, Jinzhou 121013, ChinaCollege of Engineering, Bohai University, Jinzhou 121013, ChinaDepartment of Engineering, Faculty of Engineering and Science, The University of Agder, Grimstad 4898, NorwayFocusing 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.http://dx.doi.org/10.1155/2014/574547 |
| spellingShingle | Xing Huo Aihua Zhang Hamid Reza Karimi Research on Amplifier Performance Evaluation Based on δ-Support Vector Regression Abstract and Applied Analysis |
| title | Research on Amplifier Performance Evaluation Based on δ-Support Vector Regression |
| title_full | Research on Amplifier Performance Evaluation Based on δ-Support Vector Regression |
| title_fullStr | Research on Amplifier Performance Evaluation Based on δ-Support Vector Regression |
| title_full_unstemmed | Research on Amplifier Performance Evaluation Based on δ-Support Vector Regression |
| title_short | Research on Amplifier Performance Evaluation Based on δ-Support Vector Regression |
| title_sort | research on amplifier performance evaluation based on δ support vector regression |
| url | http://dx.doi.org/10.1155/2014/574547 |
| work_keys_str_mv | AT xinghuo researchonamplifierperformanceevaluationbasedondsupportvectorregression AT aihuazhang researchonamplifierperformanceevaluationbasedondsupportvectorregression AT hamidrezakarimi researchonamplifierperformanceevaluationbasedondsupportvectorregression |