in order to determine hydrological behavior and water management of sepidroud river (north of iran-guilan) the present study has focused on stream flow prediction by using artificial neural network. ten years observed inflow data (2000-2009) of sepidroud river were selected; then these data have been forecasted by using neural network. finally, predicted results are compared to the observed dat...

Metal oxide surge arrester accurate modeling and its parameter identification are very important for insulation coordination studies, arrester allocation and system reliability. Since quality and reliability of lightning performance studies can be improved with the more efficient representation of the arresters´ dynamic behavior. In this paper, Big Bang – Big Crunch and Hybrid Big Bang – Big Cr...

feel that the results we show, particularly in Figure 6, are on much more complex examples and that we have processed much larger number of buildings than reported in the previous literature ([5], [2], and [9]). We feel that our method has advantage over monocular systems such as ([5]) due to its ability to infer 3-D more directly and of having several views to validate the hypotheses. We feel ...

Recently, indoor air quality has attracted the attention of policymakers and researchers as a critical issue like that of external air pollution. Indoor air quality is more important as people spend time longer indoors than outdoors. Indoor environments are closed compared to external environments providing less opportunity for the pollutants to dilute. The emissions contain many substances tha...

In this paper, an Adaptive-Network-based Fuzzy Inference System (ANFIS) is used for forecasting of natural gas consumption. It is clear that natural gas consumption prediction for future, surly can help Statesmen to decide more certain. There are many variables which effect on gas consumption but two variables that named Gross Domestic Product (GDP) and population, are selected as two input var...