Predicción de Fallos en Redes IP empleando Redes Neuronales Artificiales

the paper presents the implementation of a system for predicting failures in lan (timeout failure and rejection of connections), using neural networks (multilayer perceptron). it describes the implementation of the system, experiments conducted for the selection of specific parameters of the neural network, training algorithm and evaluation results.