An Optimized Recurrent Neural Network for Metocean Forecasting
Metocean data plays a crucial role in planning and constructing offshore projects. the success of many offshore projects depends on the accuracy of metocean data analyzing and forecasting. And analyzing metocean data requires a tremendous effort to validate the data and determine the transformation...
| Main Authors: | Alqushaibi, A., Abdulkadir, S.J., Rais, H.M., Al-Tashi, Q., Ragab, M.G. |
|---|---|
| Format: | Conference or Workshop Item |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.29858 / |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2020
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097537252&doi=10.1109%2fICCI51257.2020.9247681&partnerID=40&md5=5e47ef54d0f84273a9527a3fe3a0db9c http://eprints.utp.edu.my/29858/ |
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