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- W2374860147 abstract "A useful method is proposed for continuous attribute discretization and the pretreatment of training samples for ANN-based transient stability assessment to reduce training burden and time consumption. After data clustering in vector space, the cluster boundary points of each attribute are used as the initial cut points of the corresponding attribute. Then, the final cut points are selected according to the Normalized-Gain value based entropy. With the similar error rates of transient stability classification, the discretized data after compression can significantly reduce the training burden and improve convergence speed of semi-supervised BP networks. The applications to the 10-generators 39-bus power system and a practical power system show the validity of the proposed method for transient stability assessment." @default.
- W2374860147 created "2016-06-24" @default.
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- W2374860147 date "2005-01-01" @default.
- W2374860147 modified "2023-09-23" @default.
- W2374860147 title "An Entropy-based Discretization Method Applied in Transient Stability Assessment" @default.
- W2374860147 hasPublicationYear "2005" @default.
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