Telecom Voice Traffic Prediction for GSM using Feed Forward Neural Network

Regarding short-term prediction of traffic flow only, a dynamic wavelet NNet model was used to predict hourly traffic flow, including time of the day and day of the week as variables

We then focused in traffic engineering aspects, considering network dimensioning, dynamic route and dynamic resource management and presenting both MPLS and IP-based techniques.

We ran through all eight markets' stock index data using out myopic KAII neural network and we got different results from different markets. Most of the

The aim of the present study is to help all designers and architects, city council technicians, and other technicians licensed for this purpose, engineers, planners

A NEW APPROACH FOR ESTIMATION OF PVT PROPERTIES OF PURE GASES BASED ON ARTIFICIAL NEURAL NETWORK MODEL.. However, the success estimation of such correlations depends mainly on

In this study, we have performed an extended analysis of the epitope defined by a new anti-Tn- antigen antibody, G2-D11, using different microarray analysis,

The optimisation algorithm is defined based on the principles of possibility theory (i.e. defining the amount of data to include in each interval) and is a transparent, repeatable

The observation chain (GSM data capture) used for the performance evaluation of the dynamic Bayesian network (DBN) in the modeling and prediction of channel usage