SELF-ORGANIZING MAP LEARNING DEVICE AND METHOD, NON-TRANSITORY COMPUTER READABLE MEDIUM STORING SELF-ORGANIZING MAP LEARNING PROGRAM AND STATE DETERMINATION DEVICE

摘要

A Self-Organizing Map learning device includes a distance calculator that obtains a distance D between an input vector in an observation space and a reference vector of each neuron in a latent space, a smallest value neuron specifier that specifies a smallest value neuron having the smallest distance D, a neuron selector that selects M (M is an integer smaller than L) selection neurons from the L (L is equal to or larger than 2) smallest value neurons in a case where the L smallest value neurons are present, and an updater that updates the reference vector of each neuron in the latent space with the M selection neurons as winner neurons.