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Efficient Time-Series Forecasting Using Neural Network and Opposition-Based Coral Reefs Optimization

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Efficient Time-Series Forecasting Using Neural Network and Opposition-Based Coral Reefs Optimization

- How to read my repository:

1. folders
+ SPRINGER: latex paper for springer journal 
+ IJCIS: latex paper for IJCIS (accepted)
+ ref: reference papers 
+ table and images: used in both SPRINGER and IJCIS latex source 
+ table_full: additional materials (not used)

Publication

Due to the policy of the journal, I'm not allowed to publicize the paper after it was accepted. So I upload the final version of my paper before accepted.

If you guys interested in my paper or has any comment about it. Feel free to contact me via email: nguyenthieu2102@gmail.com

Google Scholar:Link. You can cite it by

BibTex:

@article{nguyen2019efficient,
  title={Efficient Time-Series Forecasting Using Neural Network and Opposition-Based Coral Reefs Optimization},
  author={Nguyen, Thieu and Nguyen, Tu and Nguyen, Binh Minh and Nguyen, Giang},
  journal={International Journal of Computational Intelligence Systems},
  volume={12},
  number={2},
  pages={1144--1161},
  year={2019},
  publisher={Atlantis Press}
}

Source

paper's code: https://github.com/chasebk/code_ocro_mlnn
latex's source: https://github.com/chasebk/paper_OCRO_MLNN_2019
internet traffic data: https://datamarket.com/data/list/?q=cat:ecd%20provider:tsdl
journal's template: https://www.atlantis-press.com/journals/ijcis/author-guidelines

Check out my latest framework for benchmark function in numpy (opfunu):
	https://github.com/thieunguyen5991/opfunu

Also my latest framework for metaheuristic algorithm in python ( > 20 algorithms):
	https://github.com/thieunguyen5991/metaheuristics

All my papers and source code can be found here:
	https://github.com/chasebk

Link Journal

- Name: International Journal of Computational Intelligence Systems
- IJCIS 2019 : https://www.atlantis-press.com/journals/ijcis/125921354
- Ranking: Q1
- IF: 2.153, CiteScore: 3.33
- DOI: https://doi.org/10.2991/ijcis.d.190930.003
- Submitted: 14/4/2019
- Accepted: 26/11/2019

License

License