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Neural network equivalent model for highly efficient massive data classification

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Acknowledgements

This work was supported in part by National Natural Science Foundation of China (Grant Nos. 61773367, 61903358, 61821005), Youth Innovation Promotion Association of the Chinese Academy of Sciences (Grant No. 2016183), and China Postdoctoral Science Foundation (Grant No. 2019M661154).

Author information

Authors and Affiliations

  1. School of Information Science and Engineering, Northeastern University, Shenyang, 110819, China

    Siquan Yu

  2. Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, 110016, China

    Siquan Yu, Zhi Han & Yandong Tang

  3. State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China

    Siquan Yu, Zhi Han & Yandong Tang

  4. Faculty of Robot Science and Engineering, Northeastern University, Shenyang, 110819, China

    Chengdong Wu

Authors
  1. Siquan Yu
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  2. Zhi Han
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  3. Yandong Tang
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  4. Chengdong Wu
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Corresponding author

Correspondence to Zhi Han.

Additional information

Supporting information Appendixes A–E. The supporting information is available online at https://info.scichina.com and https://link.springer.com. The supporting materials are published as submitted, without typesetting or editing. The responsibility for scientific accuracy and content remains entirely with the authors.

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Yu, S., Han, Z., Tang, Y. et al. Neural network equivalent model for highly efficient massive data classification. Sci. China Inf. Sci. 66, 139101 (2023). https://doi.org/10.1007/s11432-020-3113-4

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  • DOI: https://doi.org/10.1007/s11432-020-3113-4

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