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Artificial Immune Systems (AIS) constitute an emerging and promising field, and have been applied to pattern recognition and classification tasks to a limited extent so far. This work is a first attempt of applying the clonal selection principle to the training of Multi-Layer Perceptrons (MLPs). The Clonal Selectionbased Neural Classifier (CSNC) uses the basic concepts of clonal selection to evolve MLPs, which are represented as real-valued linear antibodies. The proposed system is actually adoi:10.1109/his.2008.82 dblp:conf/his/LanaridisKS08 fatcat:b732vzuemzbtbizsmgpjis4sny