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- W4214673362 abstract "In order to study the intelligent semantic recognition of Chinese linguistics under the informationization of big data, this paper designs a set of quantified pressure index system, and introduces a self-organizing feature map (SOM) neural network model with strong clustering and fault tolerance. Explain that on the basis of the SOM network model and algorithm, apply the clustering function of SOM to construct the SOM network model in MATLAB language, showing the visualization characteristics of the self-organizing feature map of Chinese linguistics for clustering, including the visualization and clustering process. Visualization of clustering results." @default.
- W4214673362 created "2022-03-02" @default.
- W4214673362 creator A5009789207 @default.
- W4214673362 date "2022-01-20" @default.
- W4214673362 modified "2023-09-25" @default.
- W4214673362 title "Research on Intelligent Semantic Recognition and Self-Organizing Feature Mapping of Chinese Linguistics Under Big Data Informationization" @default.
- W4214673362 doi "https://doi.org/10.1109/icssit53264.2022.9716272" @default.
- W4214673362 hasPublicationYear "2022" @default.
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