Least squares support vector machine for modeling daily reference evapotranspiration

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 Evapotranspiration Modeling from Limited Weather Data by Using Neuro-Fuzzy Computing Technique

(2011) Fatemeh Karimaldini et al.   JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING

Artificial neural networks approach in evapotranspiration modeling: a review

(2010) M. Kumar et al.   IRRIGATION SCIENCE

Reference evapotranspiration estimation without local climatic data

(2010) Pau Martí et al.   IRRIGATION SCIENCE

Modeling Reference Evapotranspiration Using Evolutionary Neural Networks

(2010) Ozgur Kisi   JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING

Non-linear HVAC computations using least square support vector machines

(2009) Mahendra Kumar et al.   ENERGY CONVERSION AND MANAGEMENT

Development and Validation of GANN Model for Evapotranspiration Estimation

(2009) M. Kumar et al.   JOURNAL OF HYDROLOGIC ENGINEERING

Forecasting Weekly Evapotranspiration with ARIMA and Artificial Neural Network Models

(2009) Gorka Landeras et al.   JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING

Models for estimating evapotranspiration using artificial neural networks, and their physical interpretation

(2008) S. K. Jain et al.   HYDROLOGICAL PROCESSES

Comparative study of conventional and artificial neural network-based ETo estimation models

(2008) M. Kumar et al.   IRRIGATION SCIENCE

Artificial neural network estimation of reference evapotranspiration from pan evaporation in a semi-arid environment

(2008) Ali Rahimi Khoob   IRRIGATION SCIENCE

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

(2007) Sungwon Kim et al.   JOURNAL OF HYDROLOGY