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Intelligent compaction quality assessment of earth-rock dams considering small samples uncertainty
更新时间：2025-05-26

    • Intelligent compaction quality assessment of earth-rock dams considering small samples uncertainty

    • “In the field of soil and rock dam compaction quality evaluation, experts have proposed a backpropagation neural network evaluation model based on binary multi population genetic algorithm, which effectively solves the problem of small sample learning, improves the model's generalization ability and data error tolerance.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 54, Issue 10, Pages: 2837-2848(2024)
    • 作者机构：

      1.北京科技大学 土木工程系，北京 100083

      2.水电水利规划设计总院，北京 100011

      3.清华大学 水沙科学与水利水电工程国家重点实验室，北京 100084

      4.中国水利水电科学研究院 水利部水工程建设与安全重点实验室，北京 100048

    • DOI：10.13229/j.cnki.jdxbgxb.20221523    

      CLC： TV523

    • Received：28 November 2022，

      Published：01 October 2024

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  • ZHANG Qing-long,Deng Nai-fu,AN Zai-zhan,et al.Intelligent compaction quality assessment of earth-rock dams considering small samples uncertainty[J].Journal of Jilin University(Engineering and Technology Edition),2024,54(10):2837-2848. DOI： 10.13229/j.cnki.jdxbgxb.20221523.

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