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A New Adaptive LSSVR with Online Multikernel RBF Tuning to Evaluate Analog Circuit Performance
Joint Authors
Chen, Chen
Zhang, Aihua
Karimi, Hamid Reza
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-18
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Zhang, Aihua& Chen, Chen& Karimi, Hamid Reza. 2013. A New Adaptive LSSVR with Online Multikernel RBF Tuning to Evaluate Analog Circuit Performance. Abstract and Applied Analysis،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-455821
Modern Language Association (MLA)
Zhang, Aihua…[et al.]. A New Adaptive LSSVR with Online Multikernel RBF Tuning to Evaluate Analog Circuit Performance. Abstract and Applied Analysis No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-455821
American Medical Association (AMA)
Zhang, Aihua& Chen, Chen& Karimi, Hamid Reza. A New Adaptive LSSVR with Online Multikernel RBF Tuning to Evaluate Analog Circuit Performance. Abstract and Applied Analysis. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-455821
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-455821