A New Adaptive LSSVR with Online Multikernel RBF Tuning to Evaluate Analog Circuit Performance
Focusing on the analog circuit performance evaluation demand of fast time responding online, a novel evaluation strategy based on adaptive Least Squares Support Vector Regression (LSSVR) which employs multikernel RBF is proposed in this paper. The superiority of the multi-kernel RBF has more flexibi...
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| Format: | Article |
| Language: | English |
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Wiley
2013-01-01
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| Series: | Abstract and Applied Analysis |
| Online Access: | http://dx.doi.org/10.1155/2013/231735 |
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| _version_ | 1850218278701498368 |
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| author | Aihua Zhang Chen Chen Hamid Reza Karimi |
| author_facet | Aihua Zhang Chen Chen Hamid Reza Karimi |
| author_sort | Aihua Zhang |
| collection | DOAJ |
| description | Focusing on the analog circuit performance evaluation demand of fast time responding online, a novel evaluation strategy based on adaptive Least Squares Support Vector Regression (LSSVR) which employs multikernel RBF is proposed in this paper. The superiority of the multi-kernel RBF has more flexibility to the kernel function online such as the bandwidths tuning. And then the decision parameters of the kernel parameters determine the input signal to map to the feature space deduced that a well plant model by discarding redundant features. 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 testing speed together with the evaluation performance, especially the testing speed of the proposed, is superior to that of the traditional LSSVR and ε-SVR, which is suitable for promotion online. |
| format | Article |
| id | doaj-art-3d7ee143c2034664bfa56025955da0ef |
| institution | OA Journals |
| issn | 1085-3375 1687-0409 |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Abstract and Applied Analysis |
| spelling | doaj-art-3d7ee143c2034664bfa56025955da0ef2025-08-20T02:07:48ZengWileyAbstract and Applied Analysis1085-33751687-04092013-01-01201310.1155/2013/231735231735A New Adaptive LSSVR with Online Multikernel RBF Tuning to Evaluate Analog Circuit PerformanceAihua Zhang0Chen Chen1Hamid 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, 4898 Grimstad, NorwayFocusing on the analog circuit performance evaluation demand of fast time responding online, a novel evaluation strategy based on adaptive Least Squares Support Vector Regression (LSSVR) which employs multikernel RBF is proposed in this paper. The superiority of the multi-kernel RBF has more flexibility to the kernel function online such as the bandwidths tuning. And then the decision parameters of the kernel parameters determine the input signal to map to the feature space deduced that a well plant model by discarding redundant features. 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 testing speed together with the evaluation performance, especially the testing speed of the proposed, is superior to that of the traditional LSSVR and ε-SVR, which is suitable for promotion online.http://dx.doi.org/10.1155/2013/231735 |
| spellingShingle | Aihua Zhang Chen Chen Hamid Reza Karimi A New Adaptive LSSVR with Online Multikernel RBF Tuning to Evaluate Analog Circuit Performance Abstract and Applied Analysis |
| title | A New Adaptive LSSVR with Online Multikernel RBF Tuning to Evaluate Analog Circuit Performance |
| title_full | A New Adaptive LSSVR with Online Multikernel RBF Tuning to Evaluate Analog Circuit Performance |
| title_fullStr | A New Adaptive LSSVR with Online Multikernel RBF Tuning to Evaluate Analog Circuit Performance |
| title_full_unstemmed | A New Adaptive LSSVR with Online Multikernel RBF Tuning to Evaluate Analog Circuit Performance |
| title_short | A New Adaptive LSSVR with Online Multikernel RBF Tuning to Evaluate Analog Circuit Performance |
| title_sort | new adaptive lssvr with online multikernel rbf tuning to evaluate analog circuit performance |
| url | http://dx.doi.org/10.1155/2013/231735 |
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