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GA-optimized CNN-BiLSTM-Attention for discrete-point temperature prediction model of box girders
更新时间：2025-08-12

    • GA-optimized CNN-BiLSTM-Attention for discrete-point temperature prediction model of box girders

    • “In the field of bridge structure health monitoring, experts have proposed a CNN BiLSTM Attention time series model based on genetic algorithm optimization, which effectively analyzes complex meteorological coupling mechanisms and provides high-precision temperature field prediction tools for bridge structure health monitoring. It has important engineering significance for improving the service life and safe operation and maintenance level of infrastructure.”
    • Journal of Civil and Environmental Engineering   Pages: 1-11(2025)

    • DOI：10.11835/j.issn.2096-6717.2025.079    

      CLC： U448.34

    • Received：14 April 2025，

      Online First：12 August 2025，

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  • WANG Yuchen,ZHANG Fang,YUAN junjie,et al.GA-optimized CNN-BiLSTM-Attention for discrete-point temperature prediction model of box girders[J].Journal of Civil and Environmental Engineering, DOI：10.11835/j.issn.2096-6717.2025.079.

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