Abstract
In this work, an augmented hybrid immune detector maturation algorithm applied in anomaly detection is proposed to improve the generalization capability. Experiment results show the algorithm is more effective and its generalization capability to detect more similar patterns is improved. © 2012 Springer-Verlag.
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APA
Chen, J., Liang, F., & Fang, Z. (2012). Improving the generalization capability of hybrid immune detector maturation algorithm. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7208 LNAI, pp. 298–308). https://doi.org/10.1007/978-3-642-28942-2_27
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