Metaheuristic Algorithms to Enhance the Performance of a Feedforward Neural Network in Addressing Missing Hourly Precipitation
This research study investigates the implementation of three metaheuristic algorithms, namely, Grey Wolf Optimizer (GWO), Multi-Verse Optimizer (MVO), and Moth-Flame Optimisation (MFO), for coupling with a Feedforward Neural Network (FNN) in addressing missing hourly rainfall observations, while ove...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | en |
| Published: |
Penerbit UTHM
2023
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/44780/1/Metaheuristic%20Algorithms.pdf http://ir.unimas.my/id/eprint/44780/ https://publisher.uthm.edu.my/ojs/index.php/ijie/article/view/8725 https://doi.org/10.30880/ijie.2023.15.01.025 |
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