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The estimation of groundwater levels in a basin is a very important factor for planning integrated management of groundwater and surface water resources. In this study, artificial neural network models have been developed for predicting and forecasting of groundwater level. The reliability of the computational models was analyzed based on simulation results and using three statistical tests including Pearson correlation coefficient, coefficient of determination and root-mean-square error. The artificial neural net...

Accurate prediction of reference evapotranspiration (ET0) is essential in water resources planning and management of irrigation systems. The ET0was determinate using the FAO-56 Penman-Monteith equation based on the weather data collected in Serbia during the period 1980-2010. The purpose of this research is to develop and apply the Extreme Learning Machine (ELM) to estimate and calculate the ET0. The process was implemented for eight input combinations in order to find the most optimal input combination for ET0 pr...

In this paper, on the basis of meticulous research the relevant literature, as well as empirical research into practice evolved and presented the role of e-learning in contemporary higher education institutions, we examine the possible aspects of the application and the benefits that e-learning provides, as well as to functional problems it can solve in institutes of higher education. The paperпїЅs aim is improving the quality of higher education through the basic elements of e-learning and established models of e...