Stefano Gori

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High density radio base station networks for mobile communication systems (i.e. GSM, GPRS, UMTS) are nowadays available, especially in populated urban areas and along the major roads and communication routes. Such radio networks encompass a high number of microwave radio links of different lengths (from hundreds of meters to dozens of kilometers), depending(More)
1. Introduction The paper describes the objectives, the methodology and the preliminary results of the research project " Interaction between signal settings and traffic flow patterns on road networks " , granted by the The object of the research is to develop a general procedure to study, model and solve the problem of optimal road network signal settings,(More)
The paper illustrates methodology and preliminary results obtained in the project of basic research " Interaction between signal settings and traffic flow patterns on road networks " , funded by the Italian Ministry of University and Research. The object of the project is to develop a general procedure to study, model and solve the problem of the optimal(More)
Neural Networks are famous for their advantageous flexibility for problems when there is insufficient knowledge to set up a proper model. On the other hand this flexibility can cause over-fitting and can hamper the generalization properties of neural networks. Many approaches to regular-ize NN have been suggested but most of them based on ad-hoc arguments.(More)