Patent ID: 6377941
Filing Date: 2002-04-23
Classification: G06K,G06N

Abstract:
A method for achieving automatic learning of an input vector in an artificial neural network (ANN) based on mapping an input space according to a K nearest neighbor mode (KNN), comprising the steps of:providing a plurality of neurons forming the ANN, wherein at least one neuron is free; providing to the ANN the input vector to be automatically learned and storing components of the input vector in the first ANN free neuron by performing a Write component operation; assigning a predetermined category to the input vector by performing a Write category operation; and testing whether the predetermined category matches the category of prototypes located within a predefined distance of neurons previously engaged, wherein if a match occurs, the first free neuron is not engaged; otherwise, the first free neuron is engaged such that the input vector becomes the new prototype having the category associated thereto.