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- W2136157357 abstract "This paper addresses the problem of dynamic security classification of electrical power systems using class pattern recognition with a system of combined classifiers, where each classifier is a support vector classifier (SVC) and each of the SVCs is trained on a subset of the data. The subsets are specified by the fuzzy C-means clustering algorithm (FCM). The strength of the combined classifier stems from the combination of the single classifiers. As a test-bed we have used real data from the power system of Crete, Greece." @default.
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- W2136157357 date "2001-01-01" @default.
- W2136157357 modified "2023-09-27" @default.
- W2136157357 title "Combined support vector classifiers using fuzzy clustering for dynamic security assessment" @default.
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- W2136157357 doi "https://doi.org/10.1109/pess.2001.970257" @default.
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