In recent years, fuzzy logic has emerged as a powerful technique in the analysis of
hydrologic components and decision making in water resources. Problems related to …

An accurate computational approach for the prediction of pan evaporation over daily time
horizons is a useful decisive tool in sustainable agriculture and hydrological applications …

Precise measurement or estimation of evaporation losses is extremely important for the
development of water resource management strategies and its effective implementation …

In this study, a hybrid algorithm of adaptive neuro fuzzy inference system (ANFIS), particle
swarm optimization (PSO) and principle component analysis (PCA) is utilized to predict the …

An integrated data-intelligence model based on multilayer perceptron (MLP) and krill herd
optimization–the MLP-KH model–is presented for the estimation of daily pan evaporation …

In the present study, estimating pan evaporation (Epan) was evaluated based on different
input parameters: maximum and minimum temperatures, relative humidity, wind speed, and …

Appropriate input selection for the estimation matrix is essential when modeling non-linear
progression. In this study, the feasibility of the Gamma test (GT) was investigated to extract …

The present study attempts to integrate a bio-inspired optimization algorithm, the firefly
algorithm (FA), into a neural network model to develop efficient models capable of …

The adaptive neuro-fuzzy inference system (ANFIS) is applied for selection of the most
influential reference evapotranspiration (ET 0) parameters. This procedure is typically called …

Estimation of evapotranspiration (ET) is necessary in water resources management, farm
irrigation scheduling, and environmental assessment. Hence, in practical hydrology, it is …