Indextron

Abstract

How to do pattern recognition without artificial neural networks, Bayesian classifiers, vector support machines and other mechanisms that are widely used for machine learning? The problem with pattern recognition machines is time and energy demanding training because lots of coefficients need to be worked out. The paper introduces an indexing model that performs training by memorizing inverse patterns mostly avoiding any calculations. The computational experiments indicate the potential of the indexing model for artificial intelligence applications and, possibly, its relevance to neurobiological studies as well. a https://orcid.org/0000-0001-8601-4101 b https://orcid.org/0000-0002-9343-366X