in this study, several data-driven techniques including system identification, adaptive neuro-fuzzy inference system (anfis), artificial neural network (ann) and wavelet-artificial neural network (wavelet-ann) models were applied to model rainfall-runoff (rr) relationship. for this purpose, the daily stream flow time series of hydrometric station of hajighoshan on gorgan river and the daily rai...

in this study, mathematical modeling of hot air-drying of thin-layer papaya (carica papaya l.) slices with 5±1 mm thickness pretreated in osmotic solution (50% sucrose) was investigated. thin-layer drying was conducted under three different drying temperatures of 40, 50 and 60 °c at a constant air velocity of 0.9±0.1 m/s and absolute humidity of 0.6 ± 0.02 g of water/kg of dry air. it was found...

In this paper, several equations were employed to estimate global solar radiation from sunshine hours for a meteorological station in Nigde, Turkey, using only the relative duration of sunshine. These equations included the original Angstrom-Prescott linear regression and modified functions (quadratic, logarithmic and exponential functions). Estimated values were compared with measured values i...

Estimation of reservoir water saturation (Sw) is one of the main tasks in well logging. Many empirical equations are available, which are, more or less, based on Archie equation. The present study is an application of Radial Basis Function Neural Network (RBFNN) modeling for estimation of water saturation responses in a carbonate reservoir. Four conventional petrophysical logs (PLs) including D...

hydrograph modeling and prediction of groundwater levels are the main concerns of most hydrogeological calculations and water resource management process. the present study is an application of sequential gaussian simulation (sgsim) method for predicting groundwater levels using recorded monthly data (180 months) related to 21 piezometers of behbahan aquifer, southwest of iran. to generate real...