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An immune-network inspired rule generation algorithm (RULES-IS)

Pham, Duc Truong and Soroka, Anthony John 2007. An immune-network inspired rule generation algorithm (RULES-IS). Presented at: I*PROMS 2007 Innovative Production Machines and Systems, online, 1-14 July 2007.

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Abstract

This paper presents an algorithm for the automated generation of rule sets. The extraction technique adopted is inspired by the immune system and its inherent pattern recognition capabilities. The concept of the ‘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.

Item Type: Conference or Workshop Item (Paper)
Date Type: Completion
Status: Unpublished
Schools: Engineering
Centre for Advanced Manufacturing Systems At Cardiff (CAMSAC)
Subjects: Q Science > QA Mathematics
T Technology > TJ Mechanical engineering and machinery
Uncontrolled Keywords: Machine learning; rule generation; immune networks
Last Modified: 10 Oct 2017 14:43
URI: http://orca-mwe.cf.ac.uk/id/eprint/37879

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