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- W3154071723 abstract "This thesis studies the method of using neural network sequence clustering to make the switchgear portrait. According to the characteristics of the switch signal, the data of the switchgear signal is classified and preprocessed. Then, by using the method of time serialization of the switchgear signals, the acquired signal data is matched with the events of the device, and the sequence clustering tagging processing is carried out. This method is using the neural network technology to cluster the time serialization labels of the signals generated by the distribution network equipment. By comparing with other equipment portrait clustering algorithms, the method proposed in this paper achieves the best in the three indexes of average absolute error, root mean square error, and the value of perplexity, which shows that the algorithm is effective." @default.
- W3154071723 created "2021-04-26" @default.
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- W3154071723 date "2021-01-01" @default.
- W3154071723 modified "2023-09-27" @default.
- W3154071723 title "Research on the Method of Neural Network Switchgear Portrait Based on Sequence Clustering" @default.
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- W3154071723 doi "https://doi.org/10.1007/978-981-33-6420-2_44" @default.
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