Deep Learning with a Long Short-Term Memory Networks Approach for Rainfall-Runoff Simulation

Deep learning with long short-term memory networks for financial market predictions

(2018) Thomas Fischer et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Use long short-term memory to enhance Internet of Things for combined sewer overflow monitoring

(2018) Duo Zhang et al.   JOURNAL OF HYDROLOGY

Manage Sewer In-Line Storage Control Using Hydraulic Model and Recurrent Neural Network

(2018) Duo Zhang et al.   WATER RESOURCES MANAGEMENT

Physical Hybrid Neural Network Model to Forecast Typhoon Floods

(2018) You-Da Jhong et al.   Water

Forward Prediction of Runoff Data in Data-Scarce Basins with an Improved Ensemble Empirical Mode Decomposition (EEMD) Model

(2018) Yinghao Yu et al.   Water

Extraction of Urban Water Bodies from High-Resolution Remote-Sensing Imagery Using Deep Learning

(2018) Yang Chen et al.   Water

Choice of rainfall inputs for event-based rainfall-runoff modeling in a catchment with multiple rainfall stations using data-driven techniques

(2017) Tak Kwin Chang et al.   JOURNAL OF HYDROLOGY

A reliable rainfall–runoff model for flood forecasting: review and application to a semi-urbanized watershed at high flood risk in Italy

(2016) Daniele Masseroni et al.   HYDROLOGY RESEARCH

Captured Runoff Prediction Model by Permeable Pavements Using Artificial Neural Networks

(2016) Ata Radfar et al.   Journal of Infrastructure Systems

A new hybrid data-driven model for event-based rainfall–runoff simulation

(2016) Guangyuan Kan et al.   NEURAL COMPUTING & APPLICATIONS

Integrating Artificial Neural Networks into the VIC Model for Rainfall-Runoff Modeling

(2016) Changqing Meng et al.   Water

A reliable rainfall–runoff model for flood forecasting: review and application to a semi-urbanized watershed at high flood risk in Italy

(2016) Daniele Masseroni et al.   Hydrology Research

Data-driven input variable selection for rainfall–runoff modeling using binary-coded particle swarm optimization and Extreme Learning Machines

(2015) Riccardo Taormina et al.   JOURNAL OF HYDROLOGY

Deep learning

(2015) Yann LeCun et al.   NATURE

Improving event-based rainfall-runoff simulation using an ensemble artificial neural network based hybrid data-driven model

(2015) Guangyuan Kan et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Analysis of a changing hydrologic flood regime using the Variable Infiltration Capacity model

(2014) Daeryong Park et al.   JOURNAL OF HYDROLOGY

Development of an effective data-driven model for hourly typhoon rainfall forecasting

(2013) Gwo-Fong Lin et al.   JOURNAL OF HYDROLOGY

A novel application of a neuro-fuzzy computational technique in event-based rainfall–runoff modeling

(2010) Amin Talei et al.   EXPERT SYSTEMS WITH APPLICATIONS