Digital hardware implementation of a neural network used for classification

In this paper, we propose a fully digital hardware implementation of neural networks. We describe the functioning of a digital artificial neuron and we propose a general architecture of a generic neural network. An example of a static neural network is given to show the efficiency of the implementation.