A High-Precision Chaotic LSTM Network Model Optimized by FrVMD for the Earth Natural Pulse Electromagnetic Signal Intensity Trend Forecast-Reference-Cited by-同舟云学术

A High-Precision Chaotic LSTM Network Model Optimized by FrVMD for the Earth Natural Pulse Electromagnetic Signal Intensity Trend Forecast

Published:2024 Issue: Volume:62 Page:1-12
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Hao Guocheng¹^ORCID,Meng Jieting¹^ORCID,Guo Juan¹^ORCID,Yu Jiantao¹,Zhang Wei¹,Wang Lei²

Affiliation:

1. School of Mechanical Engineering and Electronic Information, China University of Geosciences, Wuhan, China

2. Graduate School, China University of Geosciences, Wuhan, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Hubei Province of China

Opening Fund of Key Laboratory of Geological Survey and Evaluation of Ministry of Education

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10459262.pdf?arnumber=10459262

Reference48 articles.

1. Fundamental Peculiarities of the Entropy Model of Energy Processes in Seismic Areas

2. Time-frequency analysis of the Earth’s natural pulse electromagnetic field before earthquake based on BSWT-DDTFA method;Hao;Chin. J. Geophys.,2018

3. Seismogenic information research based on time-frequency analysis of Earth’s natural pulse electromagnetic fields signals;Hao,2014

4. A Matching Pursuit-Based Method for Cross-Term Suppression in WVD and its Application to the ENPEMF

5. Time-frequency analysis of the Earth’s natural pulse electromagnetic field signal before and after the Lushan Ms7.0 earthquake based on NSTFT-WVD transform;Hao;Earth Sci. Frontiers,2016

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