A new digital neural network and its application

A new digital model of the neuron, called K/N gate, is presented. The K/N neural networks have important potential application in such areas as pattern recognition and image processing. The proposed model is applied to pattern recognition, like the decimal digits in presence of random noise, and comparison is made with its analog counter part perception model. The results show that the K/N net performs better than the perceptron net. The advantages of the proposed model over the analog model are reported as follows: 1) no time consuming training is needed; 2) the desired pattern can be easily distinguished from possible noise inputs given the fact that the distance between the two has been predetermined and included in the design; and 3) the implementation can be achieved with memory and register architecture