Modeling non linear real processes with ANN techniques

In this paper we are interested to model real process by applying artificial neural networks technique. The performance and the aptitude of two types of this technique (multilayer perceptron neural network (MLP) and a radial basis function neural network (RBF)) are compared and applied for identifying non linear system of internet traffic network processes. In term of statistical criteria, the obtained results show the advantages of the developed model based on the RBF to describe the internet traffic.