Distribution estimation based negative selection algorithm (DENSA)
S Fouladvand, A Osareh… - … International Workshop on …, 2015 - ieeexplore.ieee.org
The Negative Selection Algorithm is an anomaly detection technique, inspired by the self-
nonself discrimination behavior observed in the Biological Immune Systems. The most …
nonself discrimination behavior observed in the Biological Immune Systems. The most …
DENSA: An effective negative selection algorithm with flexible boundaries for self-space and dynamic number of detectors
The negative selection algorithm is an anomaly detection technique inspired by the self-
nonself discrimination behavior observed in the Biological Immune System. The most …
nonself discrimination behavior observed in the Biological Immune System. The most …
A Real‐Valued Negative Selection Algorithm Based on Grid for Anomaly Detection
R Zhang, T Li, X Xiao - Abstract and applied analysis, 2013 - Wiley Online Library
Negative selection algorithm is one of the main algorithms of artificial immune systems.
However, candidate detectors randomly generated by traditional negative selection …
However, candidate detectors randomly generated by traditional negative selection …
A randomized real-valued negative selection algorithm
This paper presents a real-valued negative selection algorithm with good mathematical
foundation that solves some of the drawbacks of our previous approach [11]. Specifically, it …
foundation that solves some of the drawbacks of our previous approach [11]. Specifically, it …
A comparative study of real-valued negative selection to statistical anomaly detection techniques
The (randomized) real-valued negative selection algorithm is an anomaly detection
approach, inspired by the negative selection immune system principle. The algorithm was …
approach, inspired by the negative selection immune system principle. The algorithm was …
Research of a negative selection algorithm and its application in anomaly detection
YG Wei, DL Zheng, Y Wang - Proceedings of 2004 International …, 2004 - ieeexplore.ieee.org
The negative selection algorithm presented in this paper is inspired by the mechanism
exhibited in biological immune T cells negative selection process in thymus. The algorithm is …
exhibited in biological immune T cells negative selection process in thymus. The algorithm is …
A heuristic detector generation algorithm for negative selection algorithm with hamming distance partial matching rule
W Luo, Z Zhang, X Wang - … , ICARIS 2006, Oeiras, Portugal, September 4-6 …, 2006 - Springer
Negative selection algorithm is one of the most important algorithms inspired by biological
immune system. In this paper, a heuristic detector generation algorithm for negative …
immune system. In this paper, a heuristic detector generation algorithm for negative …
Negative selection algorithm based on antigen density clustering
C Yang, L Jia, BQ Chen, HY Wen - Ieee Access, 2020 - ieeexplore.ieee.org
The negative selection algorithm (NSA) is one of the basic algorithms of the artificial immune
system. In the traditional negative selection algorithm, candidate detectors are randomly …
system. In the traditional negative selection algorithm, candidate detectors are randomly …
An evaluation of negative selection algorithm with constraint-based detectors
H Hou, G Dozier - Proceedings of the 44th annual Southeast regional …, 2006 - dl.acm.org
The Negative Selection Algorithm is an immunology-inspired algorithm for anomaly
detection application. This algorithm has been implemented with different pattern …
detection application. This algorithm has been implemented with different pattern …
Negative selection based data classification with flexible boundaries
L Nemati, M Shakeri - Journal of Computer & Robotics, 2018 - jcr.qazvin.iau.ir
One of the most important artificial immune algorithms is negative selection algorithm, which
is an anomaly detection and pattern recognition technique; however, recent research has …
is an anomaly detection and pattern recognition technique; however, recent research has …