Fast learning method for RAAM based on sensitivity analysis

Abstract

This article presents a novel combination of the Recursive Auto-Associative Memory model with the SensitivityBased Linear Learning Method. Training results on the syntactic trees dataset are presented, confirming that the application of the SBLLM method to the RAAM model results in very fast learning and yields clustering results of the same quality as the original RAAM model.