ANN使

Ivan Izonin1,2, Illia Nesterenko3, Athanasia K Kazantzi4

  • 1Department of Civil Engineering, School of Engineering, University of Birmingham, Birmingham, B15 2TT, UK. i.izonin@bham.ac.uk.

Scientific reports
|October 17, 2024
PubMed
概括

本研究介绍了一种增强的输入加倍技术和人工神经网络 (ANN) 组合,用于使用小型数据集识别桥梁损坏. 该方法准确地检测桥梁中的肌损失,优于现有技术.

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