Self-organization in cellular neural networks: a comparison with Kohonen's self-organizing maps

Abstract

The ordinary differential equation (ODE) method is difficult to use for analyzing the self-organization of the Kohonen algorithm. Two stochastic, 'self-organizing' algorithms, whose corresponding ODE is a CNN equation, are presented. Their convergence shares similar features with the Kohonen self-organizing process.