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dc.contributor.authorZhang, Aihua
dc.contributor.authorWang, Yongchao
dc.contributor.authorChen, Chen
dc.contributor.authorKarimi, Hamid Reza
dc.identifier.citationZhang, A., Wang, Y., Chen, C., & Karimi, H. R. (2014). New strategy for analog circuit performance evaluation under disturbance and fault value. Mathematical Problems in Engineering, 2014. doi: 10.1155/2014/728201nb_NO
dc.descriptionPublished version of an article in the journal: Mathematical Problems in Engineering. Also available from the publisher at:
dc.description.abstractFocus on this issue of disturbance and fault value is inevitable in data collection about analog circuit. A novel strategy is developed for analog circuit online performance evaluation based on fuzzy learning and double weighted support vector machine (DWMK-FSVM). First, the double weighted support vector regression machine is employed to be the indirect evaluation means, relied on the college analog electronic technology experiment to evaluate analog circuit. Second, the superiority of fuzzy learning also is addressed to realize active suppression to the fault values and disturbance parameters. Moreover, the multikernel RBF is employed by support vector regression machine to realize more flexibility online such as the bandwidths tuning. Numerical results, supported by the college analog circuit experiments, adopted OTL performance eight indexes, which were obtained via precision instrument evaluation in two years to construct training set and are then to be evaluated online based on DWMK-FSVM. Simulation results presented not only highlight precision of the evaluation strategy derived here but also illustrate its great robustness. © 2014 Aihua Zhang et al.nb_NO
dc.rightsNavngivelse 3.0 Norge*
dc.titleNew strategy for analog circuit performance evaluation under disturbance and fault valuenb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.subject.nsiVDP::Technology: 500::Mechanical engineering: 570nb_NO
dc.source.pagenumber8 p.nb_NO
dc.source.journalMathematical Problems in Engineeringnb_NO

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