A multi-Task Water Level Prediction Method Based on Attention Mechanism and LSTM
Author:
Affiliation:
1. Sichuan University,Aostar Information Technologies Co., Ltd and College of Computer Science,Chengdu,China
2. Sichuan University,College of Computer Science,Chengdu,China
Funder
Sichuan University
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10206048/10206041/10206108.pdf?arnumber=10206108
Reference20 articles.
1. Multivariable water level prediction model based on convolution radial basis network[J];hailin;J] Hydroelectric power,0
2. Research on Prediction of Reservoir Water Level Based on LSTM Optimization Model[J];senbiao;Fujian Computer,2022
3. An overview of multi-task learning
4. Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts
5. Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A Multi-step Water Level Prediction Model Based On CNN-LSTM-ATTENTION Combined With Wavelet Transform;2024 4th International Conference on Neural Networks, Information and Communication (NNICE);2024-01-19
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