Estimating daily reference evapotranspiration using hybrid gamma test-least square support vector machine, gamma test-ANN, and gamma test-ANFIS models in an …

A Seifi, H Riahi - Journal of Water and Climate Change, 2020 - iwaponline.com
In this study, a hybrid model of least square support vector machine-gamma test (LSSVM-
GT) is proposed for estimating daily ETo under arid conditions of Zahedan station, Iran …

A novel hybrid AIG-SVR model for estimating daily reference evapotranspiration

E Mirzania, DK Vishwakarma, QAT Bui… - Arabian Journal of …, 2023 - Springer
Reference evapotranspiration (ETo) simulation is of great importance for various procedures
of the hydrological cycle, irrigation, agronomic management, and planning and …

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

H Tabari, O Kisi, A Ezani, PH Talaee - Journal of Hydrology, 2012 - Elsevier
The accurate estimation of reference evapotranspiration (ETo) becomes imperative in the
planning and management of irrigation practices. The Penman–Monteith FAO 56 (PMF-56) …

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

O Mohammadrezapour, J Piri, O Kisi - Water Supply, 2019 - iwaponline.com
Evapotranspiration is an important component in planning and management of water
resources. It depends on climatic factors and the influence of these factors on each other …

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

O Kisi, H Sanikhani, M Zounemat-Kermani… - … and Electronics in …, 2015 - Elsevier
In this study, the ability of four different data-driven methods, multilayer perceptron artificial
neural networks (ANN), adaptive neuro-fuzzy inference system (ANFIS) with grid partition …

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

S Maroufpoor, O Bozorg-Haddad, E Maroufpoor - Journal of Hydrology, 2020 - Elsevier
Reference Evapotranspiration (ET o) is one of the key components of the hydrological cycle
that is effective in water resources planning, irrigation and agricultural management and …

Evaluation of multivariate linear regression for reference evapotranspiration modeling in different climates of Iran

S Sharafi, MM Ghaleni - Theoretical and Applied Climatology, 2021 - Springer
The study aimed to evaluate the accuracy of empirical equations (Hargreaves-Samani; HS,
Irmak; IR and Dalton; DT) and multivariate linear regression models (MLR1–6) for estimating …

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

B Mohammadi, S Mehdizadeh - Agricultural Water Management, 2020 - Elsevier
In achieving water resource management goals such as irrigation scheduling, an accurate
estimate of reference evapotranspiration (ET 0) is critical. Support vector regression (SVR) …

Comparative study of time series models, support vector machines, and GMDH in forecasting long-term evapotranspiration rates in northern Iran

A Ashrafzadeh, O Kişi, P Aghelpour… - Journal of Irrigation …, 2020 - ascelibrary.org
Evapotranspiration estimation and forecasting is a key step in water management projects,
especially in water-scarce countries such as Iran. Seasonal autoregressive integrated …

Comparative assessment of reference evapotranspiration estimation using conventional method and machine learning algorithms in four climatic regions

A Raza, M Shoaib, MA Faiz, F Baig, MM Khan… - Pure and Applied …, 2020 - Springer
Reference evapotranspiration (ET o) is considered as an essential component in
hydrological and agro meteorological processes. Its accurate estimation becomes an …