Volume 2, Issue 3, December 2009, Pages 298 - 311
Re-editing and Censoring of Detectors in Negative Selection Algorithm
- X.Z. Gao, S. J. Ovaska, X. Wang
- Corresponding Author
- X.Z. Gao
Available Online 1 December 2009.
- https://doi.org/10.2991/ijcis.2009.2.3.11How to use a DOI?
- The Negative Selection Algorithm (NSA) is a kind of novelty detection method inspired by the biological self/nonself discrimination principles. In this paper, we propose two new schemes for the detectors re-editing and censoring in the NSA. The detectors that fail to pass the negative selection phase are re-edited and updated to become qualified using the Differential Evolution (DE) method. In the detectors censoring, the qualification of all the detectors is evaluated, and only those appropriate ones are retained. Prior knowledge of the anomalous data is utilized to discriminate the detectors so that their anomaly detection performances can be improved. The effectiveness of our detectors re-editing and censoring approaches is examined with both artificial signals and a practical bearings fault detection problem.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - JOUR AU - X.Z. Gao AU - S. J. Ovaska AU - X. Wang PY - 2009 DA - 2009/12 TI - Re-editing and Censoring of Detectors in Negative Selection Algorithm JO - International Journal of Computational Intelligence Systems SP - 298 EP - 311 VL - 2 IS - 3 SN - 1875-6883 UR - https://doi.org/10.2991/ijcis.2009.2.3.11 DO - https://doi.org/10.2991/ijcis.2009.2.3.11 ID - Gao2009 ER -