Statistical downscaling of global climate model outputs to monthly precipitation via extreme learning machine: A case study

Estimation of in-situ bioremediation system cost using a hybrid Extreme Learning Machine (ELM)-particle swarm optimization approach

(2016) Basant Yadav et al.   JOURNAL OF HYDROLOGY

An integrated statistical and data-driven framework for supporting flood risk analysis under climate change

(2016) Y. Lu et al.   JOURNAL OF HYDROLOGY

Water resources climate change projections using supervised nonlinear and multivariate soft computing techniques

(2016) Ali Sarhadi et al.   JOURNAL OF HYDROLOGY

Forecasting daily streamflow using online sequential extreme learning machines

(2016) Aranildo R. Lima et al.   JOURNAL OF HYDROLOGY

Downscaling of monthly precipitation using CMIP5 climate models operated under RCPs

(2016) Umut Okkan et al.   METEOROLOGICAL APPLICATIONS

Application of wavelet-artificial intelligence hybrid models for water quality prediction: a case study in Aji-Chay River, Iran

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

The Correlation Between Statistically Downscaled Precipitation Data and Groundwater Level Records in North-Western Turkey

(2016) Okan Fistikoglu et al.   WATER RESOURCES MANAGEMENT

Statistical downscaling of precipitation and temperature using sparse Bayesian learning, multiple linear regression and genetic programming frameworks

(2015) Deepti Joshi et al.   Canadian Water Resources Journal

Daily global solar radiation prediction from air temperatures using kernel extreme learning machine: A case study for Iran

(2015) Shahaboddin Shamshirband et al.   JOURNAL OF ATMOSPHERIC AND SOLAR-TERRESTRIAL PHYSICS

Multilayer perceptron neural network for downscaling rainfall in arid region: A case study of Baluchistan, Pakistan

(2015) Kamal Ahmed et al.   Journal of Earth System Science

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

Statistical downscaling rainfall using artificial neural network: significantly wetter Bangkok?

(2015) Minh Tue Vu et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Precipitation Estimation Using Support Vector Machine with Discrete Wavelet Transform

(2015) Mohamed Shenify et al.   WATER RESOURCES MANAGEMENT

Statistical Downscaling Using Local Polynomial Regression for Rainfall Predictions – A Case Study

(2015) Jany George et al.   WATER RESOURCES MANAGEMENT

Statistical downscaling of general circulation model outputs to precipitation-part 2: bias-correction and future projections

(2014) D. A. Sachindra et al.   INTERNATIONAL JOURNAL OF CLIMATOLOGY

Development of an artificial neural network based multi-model ensemble to estimate the northeast monsoon rainfall over south peninsular India: an application of extreme learning machine

(2013) Nachiketa Acharya et al.   CLIMATE DYNAMICS

Bias Correction, Quantile Mapping, and Downscaling: Revisiting the Inflation Issue

(2013) Douglas Maraun   JOURNAL OF CLIMATE

Least square support vector and multi-linear regression for statistically downscaling general circulation model outputs to catchment streamflows

(2012) D. A. Sachindra et al.   INTERNATIONAL JOURNAL OF CLIMATOLOGY

An improved statistical analogue downscaling procedure for seasonal precipitation forecast

(2012) Quanxi Shao et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Statistical downscaling of watershed precipitation using Gene Expression Programming (GEP)

(2011) Muhammad Z. Hashmi et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Downscaling of surface temperature for lake catchment in an arid region in India using linear multiple regression and neural networks

(2011) Manish Kumar Goyal et al.   INTERNATIONAL JOURNAL OF CLIMATOLOGY

Downscaling GCMs using the Smooth Support Vector Machine method to predict daily precipitation in the Hanjiang Basin

(2010) Hua Chen et al.   ADVANCES IN ATMOSPHERIC SCIENCES

Statistical Downscaling of Monthly Precipitation Using NCEP/NCAR Reanalysis Data for Tahtali River Basin in Turkey

(2010) Okan Fistikoglu et al.   JOURNAL OF HYDROLOGIC ENGINEERING

Statistical Downscaling of Precipitation Using Machine Learning with Optimal Predictor Selection

(2010) Mohammad Reza Najafi et al.   JOURNAL OF HYDROLOGIC ENGINEERING

Statistical downscaling of daily precipitation using support vector machines and multivariate analysis

(2010) Shien-Tsung Chen et al.   JOURNAL OF HYDROLOGY

Statistical downscaling of daily mean temperature, pan evaporation and precipitation for climate change scenarios in Haihe River, China

(2009) J. T. Chu et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Statistical downscaling of GCM simulations to streamflow using relevance vector machine

(2007) Subimal Ghosh et al.   ADVANCES IN WATER RESOURCES

Incremental extreme learning machine with fully complex hidden nodes

(2007) Guang-Bin Huang et al.   NEUROCOMPUTING