Gravity Dam Deformation Prediction Model Based on I-KShape and ZOA-BiLSTM
This research proposes a dam deformation prediction model based on clustering partitioning and Bidirectional Long Short-Term Memory (BiLSTM) networks to address the limitations of traditional monitoring models in characterizing the distribution characteristics of deformation zones in concrete gravit...
| Main Authors: | , , , , |
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| 格式: | 文件 |
| 语言: | English |
| 出版: |
IEEE
2024-01-01
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| 丛编: | IEEE Access |
| 主题: | |
| 在线阅读: | https://ieeexplore.ieee.org/document/10485413/ |