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Learning by means of free associative neurons

Introduces a new learning method: free associative neurons (FAN). FAN is composed of independent units with autonomous learning capabilities. The learning power of FAN is based on the association of its units and on the use of granularity for representing information. As a method for representing complex environments, FAN can be used in pattern recognition, classification and diagnosis. This paper is focused on the principles governing FAN. We also discuss some results and compare them to well-known artificial neural network algorithms.