Innovative Production Machines and Systems Conference

This paper proposes a novel algorithm for the extraction of rule sets. The extraction technique utilised is inspired by the immune system and its pattern recognition capabilities.  The concept of an immune network is used which enables the algorithm to generate rule sets in an incremental manner.  Such an immune network also enables the algorithm to learn from training examples that  have not had classes specified.  The algorithm developed is tested against several different example data sets and shows itself to be at least comparable to existing algorithms.