Learning of the feature extraction filters by reinforcement signals

Abstract

Most of the learning algorithms of the recognition system require specific training patterns for learning of the feature extraction filters. However, there are many cases that the recognition tasks don't have specific training patterns. In this paper, we propose a learning algorithm which reconstructs feature extraction filters on the basis of reinforcement signals. The recognition system constructed by the learning algorithm is robust against environmental variation.