Enhanced long short-term memory with fireworks algorithm and mutation operator
Prediction models are used to prevent and prepare for corresponding events according to various types of data generated in production. Aiming at the problems of lower predictive accuracy and slower convergent speed of the existing prediction models, a prediction model based on fireworks algorithm (F...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Springer
2021
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| Subjects: | |
| Online Access: | https://eprints.ums.edu.my/id/eprint/33008/1/Enhanced%20long%20short-term%20memory%20with%20fireworks%20algorithm%20and%20mutation%20operator%20_ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/33008/3/Enhanced%20long%20short-term%20memory%20with%20fireworks%20algorithm%20and%20mutation%20operator.pdf https://eprints.ums.edu.my/id/eprint/33008/ https://link.springer.com/article/10.1007/s11227-021-03679-7 |
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https://eprints.ums.edu.my/id/eprint/33008/1/Enhanced%20long%20short-term%20memory%20with%20fireworks%20algorithm%20and%20mutation%20operator%20_ABSTRACT.pdfhttps://eprints.ums.edu.my/id/eprint/33008/3/Enhanced%20long%20short-term%20memory%20with%20fireworks%20algorithm%20and%20mutation%20operator.pdf
https://eprints.ums.edu.my/id/eprint/33008/
https://link.springer.com/article/10.1007/s11227-021-03679-7