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

Application of back-propagation neural network on bank destruction forecasting for accumulative landslides in the three Gorges Reservoir Region, China

(2014) Changdong Li et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Improved Neural Network Model and Its Application in Hydrological Simulation

(2013) Zhi-jia Li et al.   JOURNAL OF HYDROLOGIC ENGINEERING

Neural network simulation of spring flow in karst environments

(2013) Evan K. Paleologos et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Indian summer monsoon rainfall prediction using artificial neural network

(2013) Pritpal Singh et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Application of artificial neural networks in regional flood frequency analysis: a case study for Australia

(2013) K. Aziz et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

A comparison of methods to avoid overfitting in neural networks training in the case of catchment runoff modelling

(2012) Adam P. Piotrowski et al.   JOURNAL OF HYDROLOGY

The streamflow estimation using the Xinanjiang rainfall runoff model and dual state-parameter estimation method

(2012) Haishen Lü et al.   JOURNAL OF HYDROLOGY

Quantification of the predictive uncertainty of artificial neural network based river flow forecast models

(2012) K. S. Kasiviswanathan et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Uncertainty assessment and optimization of hydrological model with the Shuffled Complex Evolution Metropolis algorithm: an application to artificial neural network rainfall-runoff model

(2012) Jun Guo et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

An optimizing BP neural network algorithm based on genetic algorithm

(2011) Shifei Ding et al.   ARTIFICIAL INTELLIGENCE REVIEW

Structure optimization of neural network for dynamic system modeling using multi-objective genetic algorithm

(2011) Sayed Mohammad Reza Loghmanian et al.   NEURAL COMPUTING & APPLICATIONS

Predicting runoff in ungauged catchments by using Xinanjiang model with MODIS leaf area index

(2009) Hongxia Li et al.   JOURNAL OF HYDROLOGY

Division-based rainfall-runoff simulations with BP neural networks and Xinanjiang model

(2009) Qin Ju et al.   NEUROCOMPUTING

Projected streamflow in the Huaihe River Basin (2010–2100) using artificial neural network

(2009) Chao Gao et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Neural networks and fuzzy inference systems for predicting water consumption time series

(2009) Mehmet Ali Yurdusev et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Design of ensemble neural network using the Akaike information criterion

(2008) Zhiye Zhao et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Jordan recurrent neural network versus IHACRES in modelling daily streamflows

(2008) Elena Carla Carcano et al.   JOURNAL OF HYDROLOGY

Comparison between kinematic wave and artificial neural network models in event-based runoff simulation for an overland plane

(2008) Lloyd H.C. Chua et al.   JOURNAL OF HYDROLOGY

Radial basis function neural network for hydrologic inversion: an appraisal with classical and spatio-temporal geostatistical techniques in the context of site characterization

(2008) Amvrossios C. Bagtzoglou et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Evolving artificial neural networks using an improved PSO and DPSO

(2007) Jianbo Yu et al.   NEUROCOMPUTING