Future Projection with an Extreme-Learning Machine and Support Vector Regression of Reference Evapotranspiration in a Mountainous Inland Watershed in North-West China

Very short-term reactive forecasting of the solar ultraviolet index using an extreme learning machine integrated with the solar zenith angle

(2017) Ravinesh C. Deo et al.   ENVIRONMENTAL RESEARCH

Spatiotemporal variability of reference evapotranspiration and contributing climatic factors in China during 1961–2013

(2017) Zhaoli Wang et al.   JOURNAL OF HYDROLOGY

Temporal and spatial evolution of the standardized precipitation evapotranspiration index (SPEI) in the Loess Plateau under climate change from 2001 to 2050

(2017) Xuerui Gao et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Influences of removing linear and nonlinear trends from climatic variables on temporal variations of annual reference crop evapotranspiration in Xinjiang, China

(2017) Yi Li et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Future changes in rainfall, temperature and reference evapotranspiration in the central India by least square support vector machine

(2017) Sananda Kundu et al.   Geoscience Frontiers

Evaluation of ACCESS climate model ocean diagnostics in CMIP5 simulations

(2017) S Marsland et al.   Australian Meteorological and Oceanographic Journal

Modeling reference evapotranspiration using three different heuristic regression approaches

(2016) Ozgur Kisi   AGRICULTURAL WATER MANAGEMENT

Comparative analysis of reference evapotranspiration equations modelling by extreme learning machine

(2016) Milan Gocic et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

An extreme learning machine approach for modeling evapotranspiration using extrinsic inputs

(2016) Amit Prakash Patil et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

An extreme learning machine model for the simulation of monthly mean streamflow water level in eastern Queensland

(2016) Ravinesh C Deo et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Detecting climate variability impacts on reference and actual evapotranspiration in the Taohe River Basin, NW China

(2016) Linshan Yang et al.   HYDROLOGY RESEARCH

Integrating genetic algorithm and support vector machine for modeling daily reference evapotranspiration in a semi-arid mountain area

(2016) Zhenliang Yin et al.   HYDROLOGY RESEARCH

Climate change effects on reference crop evapotranspiration across different climatic zones of China during 1956–2015

(2016) Junliang Fan et al.   JOURNAL OF HYDROLOGY

Comparison of ELM, GANN, WNN and empirical models for estimating reference evapotranspiration in humid region of Southwest China

(2016) Yu Feng 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

Forecasting effective drought index using a wavelet extreme learning machine (W-ELM) model

(2016) Ravinesh C. Deo et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Assessing Variation in Water Balance Components in Mountainous Inland River Basin Experiencing Climate Change

(2016) Zhenliang Yin et al.   Water

Detecting climate variability impacts on reference and actual evapotranspiration in the Taohe River Basin, NW China

(2016) Linshan Yang et al.   Hydrology Research

Integrating genetic algorithm and support vector machine for modeling daily reference evapotranspiration in a semi-arid mountain area

(2016) Zhenliang Yin et al.   Hydrology Research

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

Application of the Artificial Neural Network model for prediction of monthly Standardized Precipitation and Evapotranspiration Index using hydrometeorological parameters and climate indices in eastern Australia

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

Long-term monthly evapotranspiration modeling by several data-driven methods without climatic data

(2015) Ozgur Kisi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A comparative study of population-based optimization algorithms for downstream river flow forecasting by a hybrid neural network model

(2015) X.Y. Chen et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

How large are uncertainties in future projection of reference evapotranspiration through different approaches?

(2015) Weiguang Wang et al.   JOURNAL OF HYDROLOGY

Extreme Learning Machines: A new approach for prediction of reference evapotranspiration

(2015) Shafika Sultan Abdullah et al.   JOURNAL OF HYDROLOGY

Modeling of groundwater level fluctuations using dendrochronology in alluvial aquifers

(2015) V. Gholami et al.   JOURNAL OF HYDROLOGY

Data-driven input variable selection for rainfall–runoff modeling using binary-coded particle swarm optimization and Extreme Learning Machines

(2015) Riccardo Taormina 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

Spatiotemporal distribution of reference evapotranspiration in the Republic of Moldova

(2015) Adrian Piticar et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Monthly evaporation forecasting using artificial neural networks and support vector machines

(2015) Gulay Tezel et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Support-Vector-Machine-Based Models for Modeling Daily Reference Evapotranspiration With Limited Climatic Data in Extreme Arid Regions

(2015) Xiaohu Wen et al.   WATER RESOURCES MANAGEMENT

Improving Forecasting Accuracy of Annual Runoff Time Series Using ARIMA Based on EEMD Decomposition

(2015) Wen-chuan Wang et al.   WATER RESOURCES MANAGEMENT

Comparison of heuristic and empirical approaches for estimating reference evapotranspiration from limited inputs in Iran

(2014) Jalal Shiri et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Changes of reference evapotranspiration in the Haihe River Basin: Present observations and future projection from climatic variables through multi-model ensemble

(2014) Wanqiu Xing et al.   GLOBAL AND PLANETARY CHANGE

Extreme Learning Machines [Trends & Controversies]

(2014) Erik Cambria et al.   IEEE INTELLIGENT SYSTEMS

Online sequential extreme learning machine with kernels for nonstationary time series prediction

(2014) Xinying Wang et al.   NEUROCOMPUTING

Integrated study of the water–ecosystem–economy in the Heihe River Basin

(2014) Guodong Cheng et al.   National Science Review

Potential evapotranspiration-related uncertainty in climate change impacts on river flow: An assessment for the Mekong River basin

(2013) J.R. Thompson et al.   JOURNAL OF HYDROLOGY

Fuzzy Genetic Approach for Estimating Reference Evapotranspiration of Turkey: Mediterranean Region

(2013) Ozgur Kisi et al.   WATER RESOURCES MANAGEMENT

A Comparison Between Conventional and M5 Model Tree Methods for Converting Pan Evaporation to Reference Evapotranspiration for Semi-Arid Region

(2013) Ali Rahimikhoob et al.   WATER RESOURCES MANAGEMENT

The CNRM-CM5.1 global climate model: description and basic evaluation

(2012) A. Voldoire et al.   CLIMATE DYNAMICS

The impact of model fidelity on seasonal predictive skill

(2012) V. V. Kharin et al.   GEOPHYSICAL RESEARCH LETTERS

Temporal pattern of aridity index in Iran with considering precipitation and evapotranspiration trends

(2012) Hossein Tabari et al.   INTERNATIONAL JOURNAL OF CLIMATOLOGY

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

Least squares support vector machine for modeling daily reference evapotranspiration

(2012) Ozgur Kisi   IRRIGATION SCIENCE

SVM, ANFIS, regression and climate based models for reference evapotranspiration modeling using limited climatic data in a semi-arid highland environment

(2012) Hossein Tabari et al.   JOURNAL OF HYDROLOGY

A New Global Climate Model of the Meteorological Research Institute: MRI-CGCM3 ^|^mdash;Model Description and Basic Performance^|^mdash;

(2012) Seiji YUKIMOTO et al.   JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN

Spatiotemporal characteristics of reference evapotranspiration during 1961–2009 and its projected changes during 2011–2099 on the Loess Plateau of China

(2011) Zhi Li et al.   AGRICULTURAL AND FOREST METEOROLOGY

Estimating daily pan evaporation from climatic data of the State of Illinois, USA using adaptive neuro-fuzzy inference system (ANFIS) and artificial neural network (ANN)

(2011) J. Shiri et al.   HYDROLOGY RESEARCH

Daily reference evapotranspiration modeling by using genetic programming approach in the Basque Country (Northern Spain)

(2011) Jalal Shiri et al.   JOURNAL OF HYDROLOGY

Trend and magnitude of changes in climate variables and reference evapotranspiration over 116-yr period in the Platte River Basin, central Nebraska–USA

(2011) Suat Irmak et al.   JOURNAL OF HYDROLOGY

Improved Climate Simulation by MIROC5: Mean States, Variability, and Climate Sensitivity

(2010) Masahiro Watanabe et al.   JOURNAL OF CLIMATE

A hybrid model coupled with singular spectrum analysis for daily rainfall prediction

(2010) K. W. Chau et al.   JOURNAL OF HYDROINFORMATICS

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

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

The impacts of climate change on water resources and agriculture in China

(2010) Shilong Piao et al.   NATURE

Impact of historical land cover change on daily indices of climate extremes including droughts in eastern Australia

(2009) R. C. Deo et al.   GEOPHYSICAL RESEARCH LETTERS

Evapotranspiration modelling using support vector machines / Modélisation de l'évapotranspiration à l'aide de ‘support vector machines’

(2009) OZGUR KIŞI et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Temporal Trends in Estimates of Reference Evapotranspiration over India

(2009) A. Bandyopadhyay et al.   JOURNAL OF HYDROLOGIC ENGINEERING

The potential of different ANN techniques in evapotranspiration modelling

(2007) Ozgur Kisi   HYDROLOGICAL PROCESSES

Neural networks and genetic algorithm approach for nonlinear evaporation and evapotranspiration modeling

(2007) Sungwon Kim et al.   JOURNAL OF HYDROLOGY