In order to model traffic stream speed resulting from complex interactions among different vehicle types in a heterogeneous/mixed traffic volume, an Artificial Neural Networks (ANN) approach is exploited. Two different categories of ANN model are attempted based on input vectors used. The performance of both categories of ANN model is evaluated using traditional evaluation framework. In additio...

climate change is one of the most important problems in the present century. so assessing and prediction of future changes is important on water resources and so important for economics and socio-economic consequences. the purpose of this research is assessing the effects of climate change on surface runoff volumes under the scenarios: a1b, a2 and b1 using hadcm3 general circulation model and i...

Hydrological information is the basis for conducting water balance studies in any region, and surface runoff one of most important hydrological parameters difficult process estimation prediction. This study aims to verification MIKE 11-NAM Model modeling using artificial neural network (ANN), fuzzy inference system (FIS), autoregressive integrated moving average (ARIMA) methods at Al-Jawadiyah ...

urbanization is a pervasive global trend. the development of residential areas and road network in hajighoshan watershed (northern iran) has been observed in the recent several decades. the objective of this study is the quantitative investigation of the effects of impervious surfaces development and urban development on runoff generation and flood hazard. the study of urban area development wa...

This paper is an attempt to assess the potential and usefulness of ANN based modeling for evaporation prediction from a reservoir, where in classical and empirical equations failed to predict the evaporation accurately. The meteorological data set of daily pan evaporation, temperature, solar radiation, relative humidity, wind speed is used in this study. The performance of feed forward back pro...

Water changes information in the hydrological system, in time and space, as an environmental issue takes heed of managers and decision makers in watershed management and river engineering, which can be addressed by using spatially distributed modeling. In this study simulation of water balance components in Taleghan mountainous watershed is performed using the spatially distributed hydrological...

this study investigates the prediction model of compressive strength of self–compacting concrete (scc) by utilizing soft computing techniques. the techniques consist of adaptive neuro–based fuzzy inference system (anfis), artificial neural network (ann) and the hybrid of particle swarm optimization with passive congregation (psopc) and anfis called psopc–anfis. their performances are comparativ...