Patent ID: 7953683
Filing Date: 2011-05-31
Classification: G06N

Abstract:
1. A learning apparatus including a central processing unit, comprising: storage means for storing a network formed by a plurality of nodes each holding dynamics; learning means for learning the dynamics of the network in a self-organizing manner on the basis of observed time-series data; winner-node determining means for determining a winner node, the winner node being a node having dynamics that best match the time-series data, the winner node being determined according to a prediction error corresponding to an average square error between the time-series data and learning data; and weight determining means for determining learning weights for the dynamics held by the individual nodes according to distances of the individual nodes from the winner node; wherein the learning weight is calculated by raising an attenuation coefficient to a power determined by a ratio between the distance of the individual nodes from the winner node and a variable that is adjusted to decrease as time elapses, and wherein the learning means learns the dynamics of the network in a self-organizing manner by degrees corresponding to the learning weights.