An Improved Negative Selection Algorithm Based on Subspace Density Seeking
Negative selection algorithm (NSA) is an important method for generating detectors in artificial immune systems. Traditional NSAs randomly generate detectors in the whole feature space. However, with increasing dimensions, data samples aggregate in some specific subspaces, not uniformly distributed...
Main Authors: | Zhengjun Liu, Tao Li, Jin Yang, Tao Yang |
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Format: | Article |
Language: | English |
Published: |
IEEE
2017-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/7968422/ |
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