Evaluation of several soft computing methods in monthly evapotranspiration modelling

Artificial neural networks versus gene expression programming for estimating reference evapotranspiration in arid climate

(2016) Mohamed A. Yassin et al.   AGRICULTURAL WATER MANAGEMENT

Soft computing approaches for forecasting reference evapotranspiration

(2015) Milan Gocić et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

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

(2015) Ozgur Kisi et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Modelling long-term monthly temperatures by several data-driven methods using geographical inputs

(2015) Ozgur Kisi et al.   INTERNATIONAL JOURNAL OF CLIMATOLOGY

Comparison of Different Data-Driven Approaches for Modeling Lake Level Fluctuations: The Case of Manyas and Tuz Lakes (Turkey)

(2015) Hadi Sanikhani et al.   WATER RESOURCES MANAGEMENT

Estimation of Monthly Mean Reference Evapotranspiration in Turkey

(2013) Hatice Citakoglu et al.   WATER RESOURCES MANAGEMENT

Comparison of Gene Expression Programming with neuro-fuzzy and neural network computing techniques in estimating daily incoming solar radiation in the Basque Country (Northern Spain)

(2012) Gorka Landeras et al.   ENERGY CONVERSION AND MANAGEMENT

Evaluation of gene expression programming approaches for estimating daily evaporation through spatial and temporal data scanning

(2012) Jalal Shiri et al.   HYDROLOGICAL PROCESSES

Artificial neural network models for reference evapotranspiration in an arid area of northwest China

(2012) Z. Huo et al.   JOURNAL OF ARID ENVIRONMENTS

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

Global cross-station assessment of neuro-fuzzy models for estimating daily reference evapotranspiration

(2012) Jalal Shiri et al.   JOURNAL OF HYDROLOGY

Pan Evaporation Modeling Using Neural Computing Approach for Different Climatic Zones

(2012) Sungwon Kim et al.   WATER RESOURCES MANAGEMENT

Estimation of Daily Pan Evaporation Using Two Different Adaptive Neuro-Fuzzy Computing Techniques

(2012) Hadi Sanikhani et al.   WATER RESOURCES MANAGEMENT

Daily reference evapotranspiration modeling by using genetic programming approach in the Basque Country (Northern Spain)

(2011) Jalal Shiri et al.   JOURNAL OF HYDROLOGY

Application of Artificial Intelligence to Estimate Daily Pan Evaporation Using Available and Estimated Climatic Data in the Khozestan Province (South Western Iran)

(2011) Jalal Shiri et al.   JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING

Ancillary data supply strategies for improvement of temperature-based ETo ANN models

(2010) Pau Martí et al.   AGRICULTURAL WATER MANAGEMENT

Comparison of genetic programming with neuro-fuzzy systems for predicting short-term water table depth fluctuations

(2010) Jalal Shiri et al.   COMPUTERS & GEOSCIENCES

Performance of Penman-Monteith FAO56 in a Semiarid Highland Environment

(2010) Bogachan Benli et al.   JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING

Modeling daily discharge responses of a large karstic aquifer using soft computing methods: Artificial neural network and neuro-fuzzy

(2009) Bedri Kurtulus et al.   JOURNAL OF HYDROLOGY

Evaporation estimation using artificial neural networks and adaptive neuro-fuzzy inference system techniques

(2008) A. Moghaddamnia et al.   ADVANCES IN WATER RESOURCES

Genetic Programming-Based Empirical Model for Daily Reference Evapotranspiration Estimation

(2008) Aytac Guven et al.   CLEAN-Soil Air Water