Abstract
The membrane system and artificial immune system are both a branch of natural computing, which has attracted much attention in various disciplines. Inspired from the structure and inherent mechanism of membrane computing and immune computing, a membrane system based on immune mechanism algorithm is proposed to deal with classification problems. The approach contains three important stages: firstly, the candidate cells are generated by selecting from the gene pool randomly; then, calculate the affinity of the candidate cell with each element in the self-set to construct the classifier; finally, input the un-label cells into the detectors to test the performance of the classifier.
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Ye, L., Guo, P. (2016). An Immune Algorithm Based on P System for Classification. In: Gong, M., Pan, L., Song, T., Zhang, G. (eds) Bio-inspired Computing – Theories and Applications. BIC-TA 2016. Communications in Computer and Information Science, vol 681. Springer, Singapore. https://doi.org/10.1007/978-981-10-3611-8_14
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DOI: https://doi.org/10.1007/978-981-10-3611-8_14
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