In this work an improvement of an initial approach to design Artificial Neural Networks to forecast Time Series is tackled, and the automatic process to design Artificial Neural N...
Background: Signal transduction pathways are usually modelled using classical quantitative methods, which are based on ordinary differential equations (ODEs). However, some diffic...
Experimental analysis of networks of cooperative learning agents (to verify certain properties such as the system's stability) has been commonly used due to the complexity of...
As mobile devices, such as laptops, PDAs or mobile phones, are getting more and more ubiquitous and are able to communicate with each other via wireless technologies, the paradigm...
— In this paper we show that significant simplicity can be exploited for pricing-based control of large networks. We first consider a general loss network with Poisson arrivals...