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• W2783122404 abstract "The effective and accurate fault analysis of transmission lines play an important role in the stable operation of the power system. In this paper, we propose a novel multi-classification model based on density-based logistic regression (MCDLR) to solve the asymmetric fault analysis of multiple transmission lines. According to the Nadaraya-Watson density estimation, the proposed model maps the training data into a feature space in which an optimization model can optimize the feature weights and the bandwidth of Nadaraya-Watson density estimation. Experimental results show that the accuracy of MCDLR is above 90% or even more." @default.
• W2783122404 created "2018-01-26" @default.
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• W2783122404 date "2017-11-01" @default.
• W2783122404 modified "2023-09-24" @default.
• W2783122404 title "Fault analysis of multiple transmission lines based on density-based logistic regression" @default.
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• W2783122404 doi "https://doi.org/10.1109/icsai.2017.8248522" @default.
• W2783122404 hasPublicationYear "2017" @default.
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