Research on particle swarm optimization in LSTM neural networks for rainfall-runoff simulation

Applied method for water-body segmentation based on mask R-CNN

(2020) Fengyu Yang et al.   Journal of Applied Remote Sensing

Response of the parameters of excess infiltration and excess storage model to land use cover change

(2020) Yuexiu Wen et al.   Journal of Hydrology and Hydromechanics

Evaluating SWAT model performance, considering different soils data input, to quantify actual and future runoff susceptibility in a highly urbanized basin

(2020) Gianluigi Busico et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Assessment of CFSR and CMADS Weather Data for Capturing Extreme Hydrologic Events in the Fuhe River Basin of the Poyang Lake

(2020) Jianzhong Lu et al.   JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION

Trace2trace—A Feasibility Study on Neural Machine Translation Applied to Human Motion Trajectories

(2020) Alessandro Crivellari et al.   SENSORS

Applicability of ε-Support Vector Machine and Artificial Neural Network for Flood Forecasting in Humid, Semi-Humid and Semi-Arid Basins in China

(2019) Thabo Michael Bafitlhile et al.   Water

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

Improving Monsoon Precipitation Prediction Using Combined Convolutional and Long Short Term Memory Neural Network

(2019) Qinghua Miao et al.   Water

Application of a Parallel Particle Swarm Optimization-Long Short Term Memory Model to Improve Water Quality Data

(2019) Jianzhuo Yan et al.   Water

A generic data-driven technique for forecasting of reservoir inflow: Application for hydropower maximization

(2019) Shahryar Khalique Ahmad et al.   ENVIRONMENTAL MODELLING & SOFTWARE

New efficient initialization and updating mechanisms in PSO for feature selection and classification

(2019) Ramesh Kumar Huda et al.   NEURAL COMPUTING & APPLICATIONS

LSTM Learning With Bayesian and Gaussian Processing for Anomaly Detection in Industrial IoT

(2019) Di Wu et al.   IEEE Transactions on Industrial Informatics

Simulating and Predicting of Hydrological Time Series Based on TensorFlow Deep Learning

(2018) Jinbo Qin et al.   POLISH JOURNAL OF ENVIRONMENTAL STUDIES

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

Efficiency criteria for environmental model quality assessment: A review and its application to wastewater treatment

(2015) H. Hauduc et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Hybrid Optimization Rainfall-Runoff Simulation Based on Xinanjiang Model and Artificial Neural Network

(2011) Xiao-meng Song et al.   JOURNAL OF HYDROLOGIC ENGINEERING

Wavelet Regression Model as an Alternative to Neural Networks for River Stage Forecasting

(2010) Ozgur Kisi   WATER RESOURCES MANAGEMENT