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The reliability of the existing target classification system lacks a perfect evaluation method. In order to improve the reliability of the target classification system and the adaptability of intelligent air combat scenarios, a data-driven reliability evaluation method is proposed, which is based on the three elements of the target classification system “data + algorithm + platform.” The credibility evaluation model based on black box and white box is proposed. The generalization ability evaluation model of the target classification system and the robust ability evaluation model of the target classification system are constructed to evaluate the working ability of the system in many aspects, which fundamentally guarantees the reliability of the target classification system. The reliability evaluation method of the target classification system is established, which can be used to support and improve the reliability evaluation technology system of the target classification system, improve the reliability analysis ability of the target classification system, and provide suggestions on the usability of the classification algorithm.

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Generalization and Robustness Evaluation Method for Target Classification Based on Convolutional Neural Network

  • 会议论文

  • 发表日期：

    2025年

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  • Jiashu Yang,
  • Dan Guo,
  • Jia Zhai,
  • Xiaoyong Du,
  • Chengzu Bai,
  • Pengyu Wang,
  • Huanyu Liu

摘要

The reliability of the existing target classification system lacks a perfect evaluation method. In order to improve the reliability of the target classification system and the adaptability of intelligent air combat scenarios, a data-driven reliability evaluation method is proposed, which is based on the three elements of the target classification system “data + algorithm + platform.” The credibility evaluation model based on black box and white box is proposed. The generalization ability evaluation model of the target classification system and the robust ability evaluation model of the target classification system are constructed to evaluate the working ability of the system in many aspects, which fundamentally guarantees the reliability of the target classification system. The reliability evaluation method of the target classification system is established, which can be used to support and improve the reliability evaluation technology system of the target classification system, improve the reliability analysis ability of the target classification system, and provide suggestions on the usability of the classification algorithm.