Artificial neural networks based approaches: Simulation toys or real solutions?

If over the past decades understanding, modeling and improvement of learning and generalization capabilities of Artificial Neural networks have been subject to a particular attention, nowadays, these connectionist models have to face up to new challenges dealing with industrial requirements and realworld dilemmas. The target is to explore this pertinent point through a set of ANN based solutions developed in order to defy a number of applicative challenges dealing with industrial and real world requirements.