Deep learning-based forecast and warning of floods in Klang River, Malaysia

• Main Authors: Faruq, Amrul, Arsa, Hudan Pandu, Mohd. Hussein, Shamsul Faisal, Che Razali, Che Munira, Marto, Aminaton, Abdullah, Shahrum Shah
• Format: Article
• Published: International Information and Engineering Technology Association 2020
• Subjects: T Technology (General)
• Online Access: http://eprints.utm.my/id/eprint/90949/; http://dx.doi.org/10.18280/isi.250311
• Institution: Universiti Teknologi Malaysia

Long short-term memory (LSTM) networks are state of the art technique for time-series sequence learning. They are less commonly applied to the hydrological engineering area especially for river water level time-series data for flood warning and forecasting systems. This paper examines an LSTM networ...