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Updated: Jul 4, 2025

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一种复杂的系统健康状态评估方法,对可解释的BRBB进行参考值优化

Qingxi Zhang1, Kangle Li2, Guangling Zhang3

  • 1School of Computer Science and Information Engineering, Harbin Normal University, Harbin, 150025, China.

Scientific reports
|January 28, 2024
PubMed
概括

本研究介绍了一个可解释的信念规则基础 (BRB) 与参考值优化 (I-BRB) 进行准确的复杂系统健康状况评估. I-BRB方法提高了准确性,同时保持了系统维护策略的透明度和可解释性.

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