Wave Height and Peak Wave Period Prediction Using Recurrent Neural Networks
In this paper, we applied a recurrent neural network to predict a wave height and a peak wave period for next 24 hours from only those last 24 hours. We adopted LSTM as the network structure and used statistic gradient decent method and adaptive moment estimation method as the learning methods. It w...
| Main Authors: | Osawa, K., Yamaguchi, H., Umair, M., Hashmani, M.A., Horio, K. |
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| Format: | Conference or Workshop Item |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.29863 / |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2020
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097531635&doi=10.1109%2fICCI51257.2020.9247805&partnerID=40&md5=9d21601ccbc698e2e67315629ee058d3 http://eprints.utp.edu.my/29863/ |
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