Two Stage Prediction Model of Sunspots Monthly Value Based on CEEMDAN and Particle Swarm Optimization ELM-Reference-Cited by-同舟云学术

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Two Stage Prediction Model of Sunspots Monthly Value Based on CEEMDAN and Particle Swarm Optimization ELM

Published:2022 Issue: Volume:10 Page:102981-102991
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Zhang Beijia¹,Sun Lin²,Wang Wenbo³^ORCID

Affiliation:

1. School of Automobile and Traffic Engineering, Wuhan University of Science and Technology, Wuhan, China

2. All-purpose Quality Education College, Wuchang University of Technology, Wuhan, China

3. School of Science, Wuhan University of Science and Technology, Wuhan, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09889709.pdf?arnumber=9889709

Reference29 articles.

1. Bearing Fault Feature Extraction Method Based on GA-VMD and Center Frequency

2. Particle Swarm Optimization Fractional Slope Entropy: A New Time Series Complexity Indicator for Bearing Fault Diagnosis

3. Multi-objective grey wolf optimizer: A novel algorithm for multi-criterion optimization

4. Short term wind power forecasting using hybrid variational mode decomposition and multi-kernel regularized pseudo inverse neural network

5. Long-Term Sunspot Number Prediction based on EMD Analysis and AR Model

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