Long-term forecasting of monthly mean reference evapotranspiration using deep neural network: A comparison of training strategies and approaches

Modeling reference evapotranspiration using a novel regression-based method: radial basis M5 model tree

(2021) Ozgur Kisi et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Forecasting evapotranspiration in different climates using ensembles of recurrent neural networks

(2021) Francesco Granata et al.   AGRICULTURAL WATER MANAGEMENT

Improving reference evapotranspiration estimation using novel inter-model ensemble approaches

(2021) Min Yan Chia et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Estimating reference evapotranspiration using hybrid adaptive fuzzy inferencing coupled with heuristic algorithms

(2021) Rana Muhammad Adnan et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Transfer learning augmented enhanced memory network models for reference evapotranspiration estimation

(2021) Jatin Bedi   KNOWLEDGE-BASED SYSTEMS

Recent Advances in Evapotranspiration Estimation Using Artificial Intelligence Approaches with a Focus on Hybridization Techniques—A Review

(2020) Min Yan Chia et al.   Agronomy-Basel

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

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

Comparative Study of Time Series Models, Support Vector Machines, and GMDH in Forecasting Long-Term Evapotranspiration Rates in Northern Iran

(2020) Afshin Ashrafzadeh et al.   JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING

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

Swarm-based optimization as stochastic training strategy for estimation of reference evapotranspiration using extreme learning machine

(2020) Min Yan Chia et al.   AGRICULTURAL WATER MANAGEMENT

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 new hybrid model for wind speed forecasting combining long short-term memory neural network, decomposition methods and grey wolf optimizer

(2020) Aytaç Altan et al.   APPLIED SOFT COMPUTING

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

The viability of co-active fuzzy inference system model for monthly reference evapotranspiration estimation: case study of Uttarakhand State

(2019) Anurag Malik et al.   HYDROLOGY RESEARCH

Multi-station artificial intelligence based ensemble modeling of reference evapotranspiration using pan evaporation measurements

(2019) Vahid Nourani 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

Comparison of M5 Model Tree and Artificial Neural Network’s Methodologies in Modelling Daily Reference Evapotranspiration from NOAA Satellite Images

(2016) Ali Rahimikhoob   WATER RESOURCES MANAGEMENT

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

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

Evaluation of the Penman-Monteith (FAO 56 PM) Method for Calculating Reference Evapotranspiration Using Limited Data

(2015) Mario Córdova et al.   MOUNTAIN RESEARCH AND DEVELOPMENT

A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition

(2012) Souhaib Ben Taieb et al.   EXPERT SYSTEMS WITH APPLICATIONS

Multiple-output modeling for multi-step-ahead time series forecasting

(2010) Souhaib Ben Taieb et al.   NEUROCOMPUTING

Evaluation of FAO Penman–Monteith and alternative methods for estimating reference evapotranspiration with missing data in Southern Ontario, Canada

(2009) Paulo C. Sentelhas et al.   AGRICULTURAL WATER MANAGEMENT