Learning Enhancement Method of Long Short-Term Memory Network and Its Applicability in Hydrological Time Series Prediction

Utilization of the Long Short-Term Memory network for predicting streamflow in ungauged basins in Korea

(2022) Jeonghyeon Choi et al.   ECOLOGICAL ENGINEERING

Streamflow simulation in data-scarce basins using Bayesian and physics-informed machine learning models

(2021) Dan Lu et al.   JOURNAL OF HYDROMETEOROLOGY

Near-Real-Time Forecast of Satellite-Based Soil Moisture Using Long Short-Term Memory with an Adaptive Data Integration Kernel

(2020) Kuai Fang et al.   JOURNAL OF HYDROMETEOROLOGY

An improved long short-term memory network for streamflow forecasting in the upper Yangtze River

(2020) Shuang Zhu et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Enhanced low flow prediction for water and environmental management

(2020) Santosh K. Aryal et al.   JOURNAL OF HYDROLOGY

Enhancing streamflow forecast and extracting insights using long‐short term memory networks with data integration at continental scales

(2020) Dapeng Feng et al.   WATER RESOURCES RESEARCH

Using long short-term memory networks for river flow prediction

(2020) Wei Xu et al.   HYDROLOGY RESEARCH

Long short-term memory (LSTM) recurrent neural network for low-flow hydrological time series forecasting

(2019) Bibhuti Bhusan Sahoo et al.   Acta Geophysica

Application of Long Short-Term Memory (LSTM) Neural Network for Flood Forecasting

(2019) Le et al.   Water

A framework for streamflow prediction in the world’s most severely data-limited regions: Test of applicability and performance in a poorly-gauged region of China

(2018) M.H. Alipour et al.   JOURNAL OF HYDROLOGY

A trans-disciplinary review of deep learning research and its relevance for water resources scientists

(2018) Chaopeng Shen   WATER RESOURCES RESEARCH

Integration of a Parsimonious Hydrological Model with Recurrent Neural Networks for Improved Streamflow Forecasting

(2018) Ye Tian et al.   Water

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

(2018) Caihong Hu et al.   Water

Prolongation of SMAP to Spatiotemporally Seamless Coverage of Continental U.S. Using a Deep Learning Neural Network

(2017) Kuai Fang et al.   GEOPHYSICAL RESEARCH LETTERS

An Emotional ANN (EANN) approach to modeling rainfall-runoff process

(2017) Vahid Nourani   JOURNAL OF HYDROLOGY

The Effect of Reference Climatology on Global Flood Forecasting

(2016) Feyera A. Hirpa et al.   JOURNAL OF HYDROMETEOROLOGY

Comparing spatial and temporal transferability of hydrological model parameters

(2015) Sopan D. Patil et al.   JOURNAL OF HYDROLOGY

Deep learning

(2015) Yann LeCun et al.   NATURE

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Challenges of Operational River Forecasting

(2014) Thomas C. Pagano et al.   JOURNAL OF HYDROMETEOROLOGY

Debates-the future of hydrological sciences: A (common) path forward? Using models and data to learn: A systems theoretic perspective on the future of hydrological science

(2014) Hoshin V. Gupta et al.   WATER RESOURCES RESEARCH

Performance evaluation of hydrological models: Statistical significance for reducing subjectivity in goodness-of-fit assessments

(2012) Axel Ritter et al.   JOURNAL OF HYDROLOGY