Chapter . RULES-IS: An Immune-network inspired machine learning algorithm
D.T. Pham, A.J. Soroka
Manufacturing Engineering Centre, Cardiff University, PO Box 925, Cardiff, UK
This paper proposes a novel algorithm for the extraction of rule sets. The extraction technique adopted 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 has been tested on several different example data sets and has shown itself to be at least comparable to existing algorithms.