A novel kernel extreme learning machine model coupled with K-means clustering and firefly algorithm for estimating monthly reference evapotranspiration in parallel computation

Kernel extreme learning machines (KELM): a new approach for modeling monthly evaporation (EP) from dams reservoirs

(2020) Abderrazek Sebbar et al.   PHYSICAL GEOGRAPHY

A novel hybrid WOA-XGB model for estimating daily reference evapotranspiration using local and external meteorological data: Applications in arid and humid regions of China

(2020) Shicheng Yan et al.   AGRICULTURAL WATER MANAGEMENT

Evaporation modelling by heuristic regression approaches using only temperature data

(2019) Ozgur Kisi et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Estimation of reference evapotranspiration in Brazil with limited meteorological data using ANN and SVM – A new approach

(2019) Lucas Borges Ferreira et al.   JOURNAL OF HYDROLOGY

Adjustment of Thornthwaite equation for estimating evapotranspiration in Vojvodina

(2019) Slavisa Trajkovic et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Generalized reference evapotranspiration models with limited climatic data based on random forest and gene expression programming in Guangxi, China

(2019) Sheng Wang et al.   AGRICULTURAL WATER MANAGEMENT

Data splitting strategies for improving data driven models for reference evapotranspiration estimation among similar stations

(2019) Jalal Shiri et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Comparison of neuron-based, kernel-based, tree-based and curve-based machine learning models for predicting daily reference evapotranspiration

(2019) Lifeng Wu et al.   PLoS One

An improved model based on the support vector machine and cuckoo algorithm for simulating reference evapotranspiration

(2019) Mohammad Ehteram et al.   PLoS One

Detection and classification of microcalcification from digital mammograms with firefly algorithm, extreme learning machine and non‐linear regression models: A comparison

(2019) S. R. Sannasi Chakravarthy et al.   INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY

Light Gradient Boosting Machine: An efficient soft computing model for estimating daily reference evapotranspiration with local and external meteorological data

(2019) Junliang Fan et al.   AGRICULTURAL WATER MANAGEMENT

Empirical and learning machine approaches to estimating reference evapotranspiration based on temperature data

(2019) Matheus Mendes Reis et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Hybrid extreme learning machine with meta-heuristic algorithms for monthly pan evaporation prediction

(2019) Lifeng Wu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Estimation of monthly reference evapotranspiration using novel hybrid machine learning approaches

(2019) Yazid Tikhamarine et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES

Daily reference evapotranspiration prediction based on hybridized extreme learning machine model with bio-inspired optimization algorithms: Application in contrasting climates of China

(2019) Lifeng Wu et al.   JOURNAL OF HYDROLOGY

Coupling a Bat Algorithm with XGBoost to Estimate Reference Evapotranspiration in the Arid and Semiarid Regions of China

(2019) Yixiu Han et al.   Advances in Meteorology

Partitioning of daily evapotranspiration using a modified shuttleworth-wallace model, random Forest and support vector regression, for a cabbage farmland

(2019) Han Chen et al.   AGRICULTURAL WATER MANAGEMENT

Meteorological data mining and hybrid data-intelligence models for reference evaporation simulation: A case study in Iraq

(2019) Khabat Khosravi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Hybrid support vector machines with heuristic algorithms for prediction of daily diffuse solar radiation in air-polluted regions

(2019) Junliang Fan et al.   RENEWABLE ENERGY

Reference evapotranspiration prediction using hybridized fuzzy model with firefly algorithm: Regional case study in Burkina Faso

(2018) Hai Tao et al.   AGRICULTURAL WATER MANAGEMENT

Temperature-based modeling of reference evapotranspiration using several artificial intelligence models: application of different modeling scenarios

(2018) Hadi Sanikhani et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Comparison of SVM, ANFIS and GEP in modeling monthly potential evapotranspiration in an arid region (Case study: Sistan and Baluchestan Province, Iran)

(2018) Omolbani Mohammadrezapour et al.   Water Science and Technology-Water Supply

Modelling reference evapotranspiration using a new wavelet conjunction heuristic method: Wavelet extreme learning machine vs wavelet neural networks

(2018) Ozgur Kisi et al.   AGRICULTURAL AND FOREST METEOROLOGY

Evaluation of SVM, ELM and four tree-based ensemble models for predicting daily reference evapotranspiration using limited meteorological data in different climates of China

(2018) Junliang Fan et al.   AGRICULTURAL AND FOREST METEOROLOGY

Accessible remote sensing data based reference evapotranspiration estimation modelling

(2018) Zixiong Zhang et al.   AGRICULTURAL WATER MANAGEMENT

Jointly Optimized Extreme Learning Machine for Short-Term Prediction of Fading Channel

(2018) Yongbo Sui et al.   IEEE Access

Reference evapotranspiration estimation and modeling of the Punjab Northern India using deep learning

(2018) Mandeep Kaur Saggi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Forecast of Daily Reference Evapotranspiration Using a Modified Daily Thornthwaite Equation and Temperature Forecasts†

(2018) Xiaomin Chang et al.   IRRIGATION AND DRAINAGE

An enhanced extreme learning machine model for river flow forecasting: State-of-the-art, practical applications in water resource engineering area and future research direction

(2018) Zaher Mundher Yaseen et al.   JOURNAL OF HYDROLOGY

Evaluation of Temperature-Based Methods for the Estimation of Reference Evapotranspiration in the Yucatán Peninsula, Mexico

(2018) Victor H. Quej et al.   JOURNAL OF HYDROLOGIC ENGINEERING

Firefly-Algorithm-Inspired Framework With Band Selection and Extreme Learning Machine for Hyperspectral Image Classification

(2017) Hongjun Su et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Daily reference crop evapotranspiration in the humid environments of Azores islands using reduced data sets: accuracy of FAO-PM temperature and Hargreaves-Samani methods

(2017) P. Paredes et al.   THEORETICAL AND APPLIED CLIMATOLOGY

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

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

Estimating Evapotranspiration Using an Extreme Learning Machine Model: Case Study in North Bihar, India

(2016) Deepak Kumar et al.   JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING

Estimating Evapotranspiration Using an Extreme Learning Machine Model: Case Study in North Bihar, India

(2016) Deepak Kumar et al.   JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING

Uncertainty based modeling of rainfall-runoff: Combined differential evolution adaptive Metropolis (DREAM) and K-means clustering

(2015) Zahra Zahmatkesh et al.   ADVANCES IN WATER RESOURCES

Modeling reference evapotranspiration with calculated targets. Assessment and implications

(2015) Pau Martí et al.   AGRICULTURAL WATER MANAGEMENT

Determination of the most influential weather parameters on reference evapotranspiration by adaptive neuro-fuzzy methodology

(2015) Dalibor Petković et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Calibration of the Hargreaves–Samani method for the calculation of reference evapotranspiration in different Köppen climate classes

(2015) Javier Almorox et al.   HYDROLOGY RESEARCH

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

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

Parametric expressions for the adjusted Hargreaves coefficient in Eastern Spain

(2015) Pau Martí et al.   JOURNAL OF HYDROLOGY

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

Modeling Effects of Canopy and Roots on Soil Moisture and Deep Drainage

(2015) Junliang Fan et al.   VADOSE ZONE JOURNAL

Calibration of the Hargreaves–Samani method for the calculation of reference evapotranspiration in different Köppen climate classes

(2015) Javier Almorox et al.   Hydrology Research

Forecasting hourly global solar radiation using hybrid k-means and nonlinear autoregressive neural network models

(2013) Khalil Benmouiza et al.   ENERGY CONVERSION AND MANAGEMENT

Evaluation of different data management scenarios for estimating daily reference evapotranspiration

(2013) Jalal Shiri et al.   HYDROLOGY RESEARCH

Extreme Learning Machine for Regression and Multiclass Classification

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

The sensitivity of the PDSI to the Thornthwaite and Penman-Monteith parameterizations for potential evapotranspiration

(2011) G. van der Schrier et al.   JOURNAL OF GEOPHYSICAL RESEARCH