A Java application for the selection of a weights file for a two hidden layers feed forward neural network

In this paper we describe the way in which we select the weights set for a two hidden layers feed forward neural network. The weights are selected based on the fault tolerance of the neural network. We developed a Java application for training the network that generates more valid weights files and then the application selects the file that offers the maximum fault tolerance to the faults of the hidden neurons.