Prediction of Solar Activity Using Hybrid Artificial Bee Colony With Neighborhood Rough Sets-Reference-Cited by-同舟云学术

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Prediction of Solar Activity Using Hybrid Artificial Bee Colony With Neighborhood Rough Sets

Published:2020-10 Issue:5 Volume:7 Page:1123-1130
ISSN:2329-924X
Container-title:IEEE Transactions on Computational Social Systems
language:
Short-container-title:IEEE Trans. Comput. Soc. Syst.

Author:

Attia Abdel-Fattah^ORCID,Elaziz Mohamed Abd^ORCID,Hassanien Aboul Ella^ORCID,El-Sehiemy Ragab A.^ORCID

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Human-Computer Interaction,Social Sciences (miscellaneous),Modeling and Simulation

Link

http://xplorestaging.ieee.org/ielx7/6570650/9253503/09141392.pdf?arnumber=9141392

Cited by 10 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 novel adaptive neighborhood rough sets based on sparrow search algorithm and feature selection;Information Sciences;2024-09

2. A new method for feature selection based on weighted k-nearest neighborhood rough set;Expert Systems with Applications;2024-03

3. Long-term Evolution of Solar Activity and Prediction of the Following Solar Cycles;Research in Astronomy and Astrophysics;2024-03-01

4. A novel approach to discretizing information systems associated with neighborhood rough sets;International Journal of Approximate Reasoning;2024-01

5. A hierarchical learning based artificial bee colony algorithm for numerical global optimization and its applications;Applied Intelligence;2023-12-06

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