MAIA Neural Network: An Application to the Railway Anti-Skating System

The Neural Network (NN) model proposed in this paper has got a very strong biological analogy; in fact, the basic mechanisms of the signal transmission, particularly the frequency, among biological neurones are considered to model this kind of NN. The information on the NN synapses are transformed in a sinusoidal time-varying signal while in the traditional NN they are constant; furthermore, as in the biological case each neurone can have a proper working frequency. The complete theory of the Modulated Asynchronous Information Arrangement NN will not be presented here [14], but only the basic concepts as well as the techniques used to resolve both linear and non linear NN though the MAIA algorithms in supervised learning modality are presented.