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- W4386450946 abstract "This paper uses Brainstorm Optimization Algorithm (BSOA) to analyze network data. First, collect the network data of the battery factory production line/core network N6 port, and then evaluate the clustering effect under different iteration times and grouping effects through three evaluation methods: SC, CHI, and DBI. The results show that BSOA clustering divides the network data into eight groups, and the effect of iteration 6 is the best. This result is consistent with the application scenario of the plant; in addition, the effect is very different when comparing iterations 6 and 7, and it is inferred that it is caused by overfitting." @default.
- W4386450946 created "2023-09-06" @default.
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- W4386450946 date "2023-07-14" @default.
- W4386450946 modified "2023-10-15" @default.
- W4386450946 title "Using the Brainstorming Optimization Algorithm to Analyze the Inherent Relevance of 5G Private Network Data" @default.
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- W4386450946 doi "https://doi.org/10.1109/ispds58840.2023.10235665" @default.
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