Simulation of Barchans Movement For Managing PlanningUsing Artificial Neural Network (Case Study: Haj Ali GHoli playa)

A wide variety of barchan dunes are found in south part of Haj Ali GHoli playa، in central part of Semnan province. Barchan dunes of this area have been formed from quick sand، and with maintain of their crescent shape migrate along prevailing wind. Therefore displacement and lateral movements with annual typical trend is the most important of their characteristics.. The Purpose of this Research is Simulation of Barchan movement Using artificial neural networks. Artificial Neural Networks (ANN) is a non-linear model that acts similar to a human neural system. In recent years، artificial neural networks have become one of the most promising tools in order to model complex processes such as movement of phenomenas. In many studies، ANNs have demonstrated superior results compared to alternative methods. Obtained results illustrate that ANN predicting model is an applicable tool in predicting ofmovement of phenomenas. In order to check the sensitivity of the ANN prediction model movement of 100 Barchan measured. %70 for training and %30 for validation. In order to evaluate the accuracy of ANN model، observed and predicted data were compared and analyzed. The best accuracy of the model was 0/996. It indicate that ANN prediction model is an applicable tool in predicting of movement of phenomenas.