Neural network representing apparatus having self-organizing function

摘要

A neutral network representing apparatus includes a plurality of neuron expressing units and a plurality of synapse load expressing units. Each of the synapse load expressing units couples two neuron expressing units through a synapse load which is specific thereto. The synapse load of the synapse load expressing unit is adjusted in accordance with a prescribed learning rule in learning of the neural network representing apparatus. This learning rule includes a learning coefficient which defines the amount of a synapse load to be changed in a single learning cycle. This learning coefficient is set according to a spatial or physical distance between two neurons expressed by two neuron expressing units which are coupled by a synapse load expressing unit. The learning coefficient is provided by a monotone decreasing function of the distance between the two neurons.