LSTM-based Frequency Hopping Sequence Prediction

Author:

Li Gao,Xu Jianliang,Shen Weiguo,Wang Wei,Liu Zitong,Ding Guoru

Funder

National Natural Science Foundation of China

Publisher

IEEE

Cited by 5 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 LSTM based method to remove the time-varying errors for mm-wave microfluidic measurement;2023 16th UK-Europe-China Workshop on Millimetre Waves and Terahertz Technologies (UCMMT);2023-08-31

2. Long Short-Term Memory Network-Based Method for Frequency Security Boundary Prediction;2023 2nd International Conference on Smart Grids and Energy Systems (SGES);2023-08-25

3. Intelligent Reception of Frequency Hopping Signals Based on CVDP;Applied Sciences;2023-06-27

4. A Temporal Convolutional Network Based on Bayesian Optimization for Frequency Hopping Prediction;2022 IEEE 14th International Conference on Advanced Infocomm Technology (ICAIT);2022-07-08

5. Application of Sequential Neural Networks to Predict the Approximation Degree of Decision-making Systems;Proceedings of the 14th International Conference on Agents and Artificial Intelligence;2022

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