Extending information sent to the input of a neural network

A solution for integrating two pattern recognition methods is proposed. The first method is a neural network method and the second method is a structural method. The authors propose sending structural information to the neural network to take advantage of both methods. The aim is to let the neural network analyze the global pattern and take local ambiguities into account.<<ETX>>