| abstract |
The present invention relates to a method for predicting the health status of a network distributed through an artificial neural network that comprises the phase of identifying one or more sites, one or more assets of the sites and the links between the assets identified in the said distributed network, comprising the phase of assessing the real health status of each of the identified assets, the phase of assessing the real health status of each of the aforementioned identified sites and the prediction phase, through the artificial neural network, of the subsequent health status of each of the identified sites according to a prediction function based on a set of values comprising the actual asset health status rating, the actual asset infection risk, the actual asset infection factor , the health status rating of the actual site and the risk of infection of the actual site. |