Employing Machine Learning Algorithms for Streamflow Prediction: A Case Study of Four River Basins with Different Climatic Zones in the United States

Improving the prediction accuracy of monthly streamflow using a data-driven model based on a double-processing strategy

(2019) Lili Wang et al.   JOURNAL OF HYDROLOGY

Forecasting reservoir monthly runoff via ensemble empirical mode decomposition and extreme learning machine optimized by an improved gravitational search algorithm

(2019) Wen-jing Niu et al.   APPLIED SOFT COMPUTING

Daily streamflow prediction using optimally pruned extreme learning machine

(2019) Rana Muhammad Adnan et al.   JOURNAL OF HYDROLOGY

Simulation and forecasting of streamflows using machine learning models coupled with base flow separation

(2018) Hakan Tongal et al.   JOURNAL OF HYDROLOGY

Forecasting Daily Streamflow for Basins with Different Physical Characteristics through Data-Driven Methods

(2018) Sinan Jasim Hadi et al.   WATER RESOURCES MANAGEMENT

Modeling and simulating of reservoir operation using the artificial neural network, support vector regression, deep learning algorithm

(2018) Di Zhang et al.   JOURNAL OF HYDROLOGY

Performance assessment of artificial neural networks and support vector regression models for stream flow predictions

(2018) Ateeq-ur-Rauf et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

A robust method for non-stationary streamflow prediction based on improved EMD-SVM model

(2018) Erhao Meng et al.   JOURNAL OF HYDROLOGY

A hybrid support vector regression framework for streamflow forecast

(2018) Xiangang Luo et al.   JOURNAL OF HYDROLOGY

A K-Nearest neighbor based stochastic multisite flow and stream temperature generation technique

(2017) Joseph Sapin et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Comparison of random forests and support vector machine for real-time radar-derived rainfall forecasting

(2017) Pao-Shan Yu et al.   JOURNAL OF HYDROLOGY

Soft Computing Techniques for Rainfall-Runoff Simulation: Local Non–Parametric Paradigm vs. Model Classification Methods

(2017) Mohammad Rezaie-Balf et al.   WATER RESOURCES MANAGEMENT

Developing reservoir monthly inflow forecasts using artificial intelligence and climate phenomenon information

(2017) Tiantian Yang et al.   WATER RESOURCES RESEARCH

Streamflow Forecasting Using Empirical Wavelet Transform and Artificial Neural Networks

(2017) Tian Peng et al.   Water

Daily suspended sediment simulation using machine learning approach

(2016) Dheeraj Kumar et al.   CATENA

Coupling SWAT and ANN models for enhanced daily streamflow prediction

(2016) Navideh Noori et al.   JOURNAL OF HYDROLOGY

Regional Flood Frequency Analysis using Support Vector Regression under historical and future climate

(2016) Mesgana Seyoum Gizaw et al.   JOURNAL OF HYDROLOGY

Comparison of machine learning models for predicting fluoride contamination in groundwater

(2016) Rahim Barzegar et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Long-Term Streamflow Forecasting Based on Relevance Vector Machine Model

(2016) Yong Liu et al.   Water

Support vector machine based modeling of evapotranspiration using hydro-climatic variables in a sub-tropical environment

(2015) N.K. Shrestha et al.   AGRICULTURAL AND FOREST METEOROLOGY

Application of the extreme learning machine algorithm for the prediction of monthly Effective Drought Index in eastern Australia

(2015) Ravinesh C. Deo et al.   ATMOSPHERIC RESEARCH

Prediction of hydrological time-series using extreme learning machine

(2015) Md Atiquzzaman et al.   JOURNAL OF HYDROINFORMATICS

Artificial intelligence based models for stream-flow forecasting: 2000–2015

(2015) Zaher Mundher Yaseen et al.   JOURNAL OF HYDROLOGY

A machine learning-based approach to predict the velocity profiles in small streams

(2015) Onur Genç et al.   WATER RESOURCES MANAGEMENT

Multi-step streamflow forecasting using data-driven non-linear methods in contrasting climate regimes

(2015) Daniel J. Karran et al.   JOURNAL OF HYDROINFORMATICS

Support vector machine―an alternative to artificial neuron network for water quality forecasting in an agricultural nonpoint source polluted river?

(2014) Mei Liu et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Modeling of daily pan evaporation in sub tropical climates using ANN, LS-SVR, Fuzzy Logic, and ANFIS

(2014) Manish Kumar Goyal et al.   EXPERT SYSTEMS WITH APPLICATIONS

Hydrologic modelling of the effect of snowmelt and temperature on a mountainous watershed

(2014) Kwangmin Kang et al.   Journal of Earth System Science

A Comparison of Machine Learning Techniques for Modeling River Flow Time Series: The Case of Upper Cauvery River Basin

(2014) Shivshanker Singh Patel et al.   WATER RESOURCES MANAGEMENT

An Insight into Extreme Learning Machines: Random Neurons, Random Features and Kernels

(2014) Guang-Bin Huang   Cognitive Computation

Extreme learning machine: algorithm, theory and applications

(2013) Shifei Ding et al.   ARTIFICIAL INTELLIGENCE REVIEW

Mediterranean-climate streams and rivers: geographically separated but ecologically comparable freshwater systems

(2013) Núria Bonada et al.   HYDROBIOLOGIA

An evaluation of approaches for modelling hydrological processes in high-elevation, glacierized Andean watersheds

(2013) S. Ragettli et al.   HYDROLOGICAL PROCESSES

Application of extreme learning machine for estimating solar radiation from satellite data

(2013) Mehmet Şahin et al.   INTERNATIONAL JOURNAL OF ENERGY RESEARCH

Long-term SPI drought forecasting in the Awash River Basin in Ethiopia using wavelet neural network and wavelet support vector regression models

(2013) A. Belayneh et al.   JOURNAL OF HYDROLOGY

Increasing streamflow forecast lead time for snowmelt-driven catchment based on large-scale climate patterns

(2012) Ajay Kalra et al.   ADVANCES IN WATER RESOURCES

Daily suspended sediment load prediction using artificial neural networks and support vector machines

(2012) E. Kakaei Lafdani et al.   JOURNAL OF HYDROLOGY

Monthly streamflow forecasting based on improved support vector machine model

(2011) Jun Guo et al.   EXPERT SYSTEMS WITH APPLICATIONS

Extreme Learning Machine for Regression and Multiclass Classification

(2011) Guang-Bin Huang et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

Prediction of rainfall time series using modular artificial neural networks coupled with data-preprocessing techniques

(2010) C.L. Wu et al.   JOURNAL OF HYDROLOGY

A comparative study of artificial neural networks and support vector machines for predicting groundwater levels in a coastal aquifer

(2010) Heesung Yoon et al.   JOURNAL OF HYDROLOGY

Potential of support vector regression for prediction of monthly streamflow using endogenous property

(2009) Rajib Maity et al.   HYDROLOGICAL PROCESSES

A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series

(2009) Wen-Chuan Wang et al.   JOURNAL OF HYDROLOGY

Choosing the kernel parameters for support vector machines by the inter-cluster distance in the feature space

(2008) Kuo-Ping Wu et al.   PATTERN RECOGNITION