Extreme learning machine-based prediction of daily water temperature for rivers

Application of experimental design for the optimization of artificial neural network-based water quality model: a case study of dissolved oxygen prediction

(2018) Aleksandra Šiljić Tomić et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Modelling daily dissolved oxygen concentration using least square support vector machine, multivariate adaptive regression splines and M5 model tree

(2018) Salim Heddam et al.   JOURNAL OF HYDROLOGY

Performance of the air2stream model that relates air and stream water temperatures depends on the calibration method

(2018) Adam P. Piotrowski et al.   JOURNAL OF HYDROLOGY

Multi-layer perceptron hybrid model integrated with the firefly optimizer algorithm for windspeed prediction of target site using a limited set of neighboring reference station data

(2018) Ravinesh C. Deo et al.   RENEWABLE ENERGY

A linear and non-linear polynomial neural network modeling of dissolved oxygen content in surface water: Inter- and extrapolation performance with inputs' significance analysis

(2018) Aleksandra Šiljić Tomić et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Climatic and dam-induced impacts on river water temperature: Assessment and management implications

(2018) Mariola Kędra et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Global Warming of Salmon and Trout Rivers in the Northwestern U.S.: Road to Ruin or Path Through Purgatory?

(2018) Daniel J. Isaak et al.   TRANSACTIONS OF THE AMERICAN FISHERIES SOCIETY

Modelling the effects of meteorological parameters on water temperature using artificial neural networks

(2018) Merve Temizyurek et al.   WATER SCIENCE AND TECHNOLOGY

Modeling water temperature effect in diatom ( Stephanodiscus hantzschii ) prediction in eutrophic rivers using a 2D contaminant transport model

(2018) Jun Song Kim et al.   Journal of Hydro-environment Research

Modelling daily water temperature from air temperature for the Missouri River

(2018) Senlin Zhu et al.   PeerJ

Assessing climate change impacts on stream temperature in the Athabasca River Basin using SWAT equilibrium temperature model and its potential impacts on stream ecosystem

(2018) Xinzhong Du et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Evaluation of daily solar radiation flux using soft computing approaches based on different meteorological information: peninsula vs continent

(2018) Sungwon Kim et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Modeling daily water temperature for rivers: comparison between adaptive neuro-fuzzy inference systems and artificial neural networks models

(2018) Senlin Zhu et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Artificial intelligence-based fast and efficient hybrid approach for spatial modelling of soil electrical conductivity

(2018) Mohammad Ali Ghorbani et al.   SOIL & TILLAGE RESEARCH

Meltwater temperature in streams draining Alpine glaciers

(2018) R.J. Williamson et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Citizen science evidence from the past century shows that Scottish rivers are warming

(2018) Ina Pohle et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Extreme learning machines: a new approach for modeling dissolved oxygen (DO) concentration with and without water quality variables as predictors

(2017) Salim Heddam et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

New formulation for forecasting streamflow: evolutionary polynomial regression vs. extreme learning machine

(2017) Mohammad Rezaie-Balf et al.   HYDROLOGY RESEARCH

The role of riparian vegetation density, channel orientation and water velocity in determining river temperature dynamics

(2017) Grace Garner et al.   JOURNAL OF HYDROLOGY

Implementation of a hybrid MLP-FFA model for water level prediction of Lake Egirdir, Turkey

(2017) Mohammad Ali Ghorbani et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Pan evaporation prediction using a hybrid multilayer perceptron-firefly algorithm (MLP-FFA) model: case study in North Iran

(2017) M. A. Ghorbani et al.   THEORETICAL AND APPLIED CLIMATOLOGY

The relative importance of water temperature and residence time in predicting cyanobacteria abundance in regulated rivers

(2017) YoonKyung Cha et al.   WATER RESEARCH

New formulation for forecasting streamflow: evolutionary polynomial regression vs. extreme learning machine

(2017) Mohammad Rezaie-Balf et al.   Hydrology Research

A hybrid feature selection algorithm integrating an extreme learning machine for landslide susceptibility modeling of Mt. Woomyeon, South Korea

(2016) Nikhil N. Vasu et al.   GEOMORPHOLOGY

Prediction of river water temperature: a comparison between a new family of hybrid models and statistical approaches

(2016) Sebastiano Piccolroaz et al.   HYDROLOGICAL PROCESSES

A comparative study for water temperature modelling in a small basin, the Fourchue River, Quebec, Canada

(2016) Jaewon Kwak et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

A hybrid approach to monthly streamflow forecasting: Integrating hydrological model outputs into a Bayesian artificial neural network

(2016) Greer B. Humphrey et al.   JOURNAL OF HYDROLOGY

Stream-flow forecasting using extreme learning machines: A case study in a semi-arid region in Iraq

(2016) Zaher Mundher Yaseen et al.   JOURNAL OF HYDROLOGY

A hybrid model for river water temperature as a function of air temperature and discharge

(2015) Marco Toffolon et al.   Environmental Research Letters

Modelling river temperature from air temperature: case of the River Drava (Croatia)

(2015) Anamarija Rabi et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Comparing various artificial neural network types for water temperature prediction in rivers

(2015) Adam P. Piotrowski et al.   JOURNAL OF HYDROLOGY

Trends in extreme learning machines: A review

(2015) Gao Huang et al.   NEURAL NETWORKS

Estimation of monthly evaporative loss using relevance vector machine, extreme learning machine and multivariate adaptive regression spline models

(2015) Ravinesh C. Deo et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Comparing large number of metaheuristics for artificial neural networks training to predict water temperature in a natural river

(2014) Adam P. Piotrowski et al.   COMPUTERS & GEOSCIENCES

Developing and testing temperature models for regulated systems: A case study on the Upper Delaware River

(2014) Jeffrey C. Cole et al.   JOURNAL OF HYDROLOGY

A regional neural network ensemble for predicting mean daily river water temperature

(2014) Jefferson Tyrell DeWeber et al.   JOURNAL OF HYDROLOGY

Implementation of Artificial Neural Networks in Modeling the Water-Air Temperature Relationship of the River Drava

(2014) Marijana Hadzima-Nyarko et al.   WATER RESOURCES MANAGEMENT

Air-Water Temperature Relationships in the Trout Streams of Southeastern Minnesota's Carbonate-Sandstone Landscape

(2013) Lori A. Krider et al.   JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION

Global river temperatures and sensitivity to atmospheric warming and changes in river flow

(2011) M. T. H. van Vliet et al.   WATER RESOURCES RESEARCH

Artificial Neural Network (ANN) Based Modeling for Karstic Groundwater Level Simulation

(2010) Ioannis C. Trichakis et al.   WATER RESOURCES MANAGEMENT

A dynamic artificial neural network model for forecasting nonlinear processes

(2009) M. Ghiassi et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Forecasting stream water temperature using regression analysis, artificial neural network, and chaotic non-linear dynamic models

(2009) G.B. Sahoo et al.   JOURNAL OF HYDROLOGY

Modelling river water temperature using deterministic, empirical, and hybrid formulations in a Mediterranean stream

(2008) Rafael Marcé et al.   HYDROLOGICAL PROCESSES

Enhanced random search based incremental extreme learning machine

(2007) Guang-Bin Huang et al.   NEUROCOMPUTING