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Use of one-dimensional CNN for input data size reduction in LSTM for improved computational efficiency and accuracy in hourly rainfall-runoff modeling

Kei Ishida, Ali Ercan, Takeyoshi Nagasato, Masato Kiyama, Motoki Amagasaki

2024Journal of Environmental Management47 citationsDOIOpen Access PDF

Topics & Concepts

Convolutional neural networkOverfittingComputer scienceDeep learningEvapotranspirationSurface runoffShortwave radiationArtificial intelligenceWatershedEnvironmental scienceArtificial neural networkMeteorologyMachine learningRadiationPhysicsBiologyQuantum mechanicsEcologyHydrology and Watershed Management StudiesHydrological Forecasting Using AIFlood Risk Assessment and Management
Use of one-dimensional CNN for input data size reduction in LSTM for improved computational efficiency and accuracy in hourly rainfall-runoff modeling | Litcius