Analysis of Bridge Condition Prediction Based on LSTM Model
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.
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