现代信息科技2025，Vol.9Issue(4)：38-42,5.DOI:10.19850/j.cnki.2096-4706.2025.04.008
基于LSTM神经网络的潮汐分析
Tidal Analysis Based on LSTM Neural Network
凌鑫辉 1尚玉杰 1李小平1
作者信息
- 1. 南京工程学院 通信与人工智能学院、集成电路学院,江苏 南京 211167
- 折叠
摘要
Abstract
Owing to the influence of environmental factors such as wind,wave and tide,traditional methods of tidal range and analysis are incapable of accurately capturing the complex features of tidal time series data.To solve this problem,this paper proposes a method based on the LSTM neural network to predict the tide level at the Lianyungang station.The LSTM model is constructed by setting different parameters,including the number of LSTM layers,the batch size,the number of hidden layer nodes,initial learning rate,and sequence length.A dataset composed of hourly tidal data from the Lianyungang tide gauge station since January 2022 is used to train the model,and the performance of the model under different network parameter settings is evaluated.Finally,the optimal model parameters are selected to predict the future tidal data of Lianyungang.The analysis of the prediction results demonstrates that the model can perform the prediction task quite well.关键词
潮汐数据预测/深度学习/LSTM模型Key words
tidal data prediction/Deep Learning/LSTM model分类
信息技术与安全科学引用本文复制引用
凌鑫辉,尚玉杰,李小平..基于LSTM神经网络的潮汐分析[J].现代信息科技,2025,9(4):38-42,5.
