Research on Crosstalk Suppression of Automotive Communication System Based on Long Short-term Memory Prediction Phase Shifter

Author:

Jin Zhiyang1,Yin Baiqiang1,Yuan Lifen1

Affiliation:

1. School of Electrical and Automation Engineering, Hefei University of Technology,Hefei,China

Funder

National Natural Science Foundation of China

National Key Research and Development Plan

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Reference10 articles.

1. Forecasting tunnel boring machine penetration rate using LSTM deep neural network optimized by grey wolf optimization algorithm[J];arsalan;Expert Systems with Applications,2022

2. Prediction Model of shielded Twisted-pair crosstalk Based on Link Parameters [J];xudong;Computer Applications and Software,2021

3. Short-Term Wind Power Prediction by an Extreme Learning Machine Based on an Improved Hunter–Prey Optimization Algorithm[J];xiangyue;Sustainability,2023

4. Review on Formation Mechanism and Suppression Methods of Electromagnetic Interference in high-speed Train Power Supply System [J/OL];hong;Proceedings of the CSEE,2023

5. Simulation Analysis and Suppression Method of Power Cable crosstalk for New Energy Vehicles [J];xingchao;Journal of Terahertz Science and Electronic Information Technology,2020

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