This paper presents the development of an artificial neural network (ANN) model based on
the multi-layer perceptron (MLP) for analyzing internet traffic data over IP networks. We …

This work concerns the development of two approaches for the identification of diagonal
parameters of quadratic systems from only the output observation. The systems considered …

In this paper, a low cost and an easy to implement solar tracker system is presented. The
design of the system is based on the fuzzy reasoning applied to crisp sets. In this case, it can …

Solar energy has been accepted as an alternative source of energy worldwide recently.
Current researches and markets have shown that Solar Photovoltaic (PV) is the fastest …

In this work we propose an algorithm based on third order cumulants for identification of the
linear system (Finite Impulse Response (FIR)) with Minimum Phase (MP), and Non Minimum …

The objective of this study is to develop a mathematical model based on the MLP Artificial
Neural Networks (ANN) to predict meteorological parameters in general and moisture in …

In this paper, a comparative study between a blind algorithm, based on higher order
cumulants, and adaptive algorithms, ie Recursive Least Squares (RLS) and Least Mean …

In this paper we propose an algorithm based on fourth order cumulants for identification of
linear systems with Non Minimum Phase (NMP) excited by independent identically …

Mohammed Zidane, Said Safi, Mohamed Sabri, Ahmed Boumezzough Abstract—This paper
describes a blind algorithm, which is compared with two another algorithms proposed in the …

Problem statement: The statistical modeling for predicting network traffic has now become a
major tool used for network and is of significant interest in many domains: Adaptive …