2011 Third International Conference on Intelligent Human-Machine Systems and Cybernetics 2011
DOI: 10.1109/ihmsc.2011.104
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An Adaptive Artificial Immune Network Classifier with Independent Suppression Threshold

Abstract: Artificial immune algorithm (aiNet) is one of the algorithms of the artificial immune system that is introduced as clustering and filtering of redundant data. This algorithm is also used as a classifier. One of the most effective parameters in this network is the suppression threshold which is responsible for controlling the value of minimum distance between two antibodies in the training phase, and the recognition threshold between antibody and antigen in the testing phase. The efficiency of the results of ai… Show more

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