GEOMORPHO MODELLING PROCESSES USING ARTIFICIAL NEURAL NETWORKS
GEOMORPHO MODELLING PROCESSES USING ARTIFICIAL NEURAL NETWORKS

Summary/Abstract: The erosion is one of the most important problem in the study area of Zlatna basin. Due to this problems of the landfill erosion -it becomes necessary to analyze some factors according to this pattern. In the present paper we intend to establish some methods whom results which will be used as base in the erosion assessment. For an estimation of erosion for this area we were using as indicator the specific discharge of alluvial soil from the main collector of the area’s hydrographic system, the average water discharge - as outputs and the precipitation’s -as inputs of the system. Using neuronal networks our aim is to establish a model which is helpful in the estimation and forecasting the evolution of the factors which determine the dynamic and efficiency of the erosion. This main factors are the average water discharge and the average water discharge. As it follows we wish to present some spatial data related to the study area and the methods and results using this black box model, in forecasting the most essential factors.

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