Assessing the performance of the resource limited artificial immune system AINE

TLDR: It can be concluded that AINE no longer shows the possibility of continual learning, but exhibits characteristics of optimisation, which are identified for future study.

Abstract: This report presents an assessment of the resource limited artificial immune system known as AINE. This work is a continuation of previous work to develop an artificial immune system for data analysis. A brief introduction to the fundamentals of immunology is given followed by a review of the previous work on AINE. Discrepancies in the original work are identified and revisions are made. Results are then presented for a simulated data set and for the Fisher Iris data set. Comparisons are then drawn between the revised algorithm and the original version of AINE. Results of parameter adjustment on the revised version confirm those results in the previous work. Additionally, trends in the evolution of the networks are identified and analysed. These tests show new behaviour in the revised AINE and from which it can be concluded that AINE no longer shows the possibility of continual learning, but exhibits characteristics of optimisation, which are identified for future study.