A stochastic implementation method of an activation function for an artificial neural network and a system including the same

摘要

The present invention relates to the implementation of an active function that constitutes an artificial neural network. Specifically, the present invention can implement four different types of active functions by adjusting the comparator inputs that make up the artificial neural network.