基于LSTM模型的桥梁状况预测分析
Analysis of Bridge Condition Prediction Based on LSTM Model
刘嘉欣 1郭雨欣 1王娣 1温夏梅 1白鹏飞1
作者信息
摘要
阐述一种基于LSTM的桥梁沉降预测方法.LSTM模型用于捕捉节点属性的动态变化,以获得时间相关性,最终用于桥梁沉降状况预测.在真实桥梁沉降数据集上进行评估,LSTM模型获得满意的预测结果.LSTM模型不仅可用于沉降预测,还可以应用于其他时空任务.
Abstract
This paper describes a bridge settlement prediction method based on LSTM.The LSTM model is used to capture the dynamic changes in node attributes to obtain temporal correlation,ultimately used for predicting bridge settlement conditions.It was evaluated on a real bridge settlement dataset,and the LSTM model achieved satisfactory prediction results.The LSTM model can not only be used for settlement prediction,but also for other spatiotemporal tasks.
关键词
智能算法/LSTM神经网络/桥梁沉降预测Key words
intelligent algorithms/LSTM neural networks/bridge settlement prediction引用本文复制引用
出版年
2024
NETL
NSTL
万方数据