Evaluation of Machine Learning Models for Daily Reference Evapotranspiration Modeling Using Limited Meteorological Data in Eastern Inner Mongolia, North China

New approach to estimate daily reference evapotranspiration based on hourly temperature and relative humidity using machine learning and deep learning

(2020) Lucas Borges Ferreira et al.   AGRICULTURAL WATER MANAGEMENT

Modeling daily reference evapotranspiration via a novel approach based on support vector regression coupled with whale optimization algorithm

(2020) Babak Mohammadi et al.   AGRICULTURAL WATER MANAGEMENT

Estimation of summer maize evapotranspiration using MARS model in the semi-arid region of northwest China

(2020) Xiaoqin Shan et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Support vector machine enhanced empirical reference evapotranspiration estimation with limited meteorological parameters

(2020) Min Yan Chia et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Neuro-fuzzy estimation of reference crop evapotranspiration by neuro fuzzy logic based on weather conditions

(2020) Biljana Petković et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Reference evapotranspiration estimating based on optimal input combination and hybrid artificial intelligent model: Hybridization of artificial neural network with grey wolf optimizer algorithm

(2020) Saman Maroufpoor et al.   JOURNAL OF HYDROLOGY

Forecast of short-term daily reference evapotranspiration under limited meteorological variables using a hybrid bi-directional long short-term memory model (Bi-LSTM)

(2020) Juan Yin et al.   AGRICULTURAL WATER MANAGEMENT

An assembly-level neutronic calculation method based on LightGBM algorithm

(2020) Jiejin Cai et al.   ANNALS OF NUCLEAR ENERGY

Estimating daily reference evapotranspiration based on limited meteorological data using deep learning and classical machine learning methods

(2020) Zhijun Chen et al.   JOURNAL OF HYDROLOGY

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

Improved prediction of daily pan evaporation using Deep-LSTM model

(2019) Babita Majhi et al.   NEURAL COMPUTING & APPLICATIONS

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

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

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

Evapotranspiration estimation using four different machine learning approaches in different terrestrial ecosystems

(2018) Xianming Dou et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Estimation of daily reference evapotranspiration (ET o ) using artificial intelligence methods: Offering a new approach for lagged ET o data-based modeling

(2018) Saeid Mehdizadeh   JOURNAL OF HYDROLOGY

Improving the performance of the mass transfer-based reference evapotranspiration estimation approaches through a coupled wavelet-random forest methodology

(2018) Jalal Shiri   JOURNAL OF HYDROLOGY

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

Forecasting of Multi-Step Ahead Reference Evapotranspiration Using Wavelet- Gaussian Process Regression Model

(2017) Masoud Karbasi   WATER RESOURCES MANAGEMENT

Modeling reference evapotranspiration using three different heuristic regression approaches

(2016) Ozgur Kisi   AGRICULTURAL WATER MANAGEMENT

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

Developing Equations for Estimating Reference Evapotranspiration in Australia

(2016) Matin Ahooghalandari et al.   WATER RESOURCES MANAGEMENT

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

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

An investigation on generalization ability of artificial neural networks and M5 model tree in modeling reference evapotranspiration

(2015) Ozgur Kisi 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

Comparison between M5 Model Tree and Neural Networks for Estimating Reference Evapotranspiration in an Arid Environment

(2014) Ali Rahimikhoob   WATER RESOURCES MANAGEMENT

Simplified forms for the standardized FAO-56 Penman–Monteith reference evapotranspiration using limited weather data

(2013) John D. Valiantzas   JOURNAL OF HYDROLOGY

Estimation of Monthly Mean Reference Evapotranspiration in Turkey

(2013) Hatice Citakoglu et al.   WATER RESOURCES MANAGEMENT

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

Meteorological factors and El Niño Southern Oscillation are independently associated with dengue infections

(2011) A. EARNEST et al.   EPIDEMIOLOGY AND INFECTION