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Evolving CNN-LSTM models for time series prediction using enhanced Grey Wolf Optimizer

Xie, Hailun, Zhang, Li and Lim, Chee Peng 2020, Evolving CNN-LSTM models for time series prediction using enhanced Grey Wolf Optimizer, IEEE Access, vol. 8, pp. 161519-161541, doi: 10.1109/ACCESS.2020.3021527.

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Title Evolving CNN-LSTM models for time series prediction using enhanced Grey Wolf Optimizer
Author(s) Xie, Hailun
Zhang, Li
Lim, Chee PengORCID iD for Lim, Chee Peng orcid.org/0000-0003-4191-9083
Journal name IEEE Access
Volume number 8
Start page 161519
End page 161541
Total pages 23
Publisher Institute of Electrical and Electronics Engineers
Place of publication Piscataway, N.J.
Publication date 2020
ISSN 2169-3536
2169-3536
Keyword(s) Science & Technology
Technology
Computer Science, Information Systems
Engineering, Electrical & Electronic
Telecommunications
Computer Science
Engineering
Time series analysis
Predictive models
Feature extraction
Task analysis
Forecasting
Machine learning
Genetic algorithms
Evolutionary computation
Grey Wolf optimizer
time series prediction
deep neural network
Language eng
DOI 10.1109/ACCESS.2020.3021527
Indigenous content off
Field of Research 08 Information and Computing Sciences
09 Engineering
10 Technology
HERDC Research category C1 Refereed article in a scholarly journal
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30143092

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.