A danger theory inspired artificial immune algorithm for on-line supervised two-class classification problem

@article{Zhang2010ADT,
  title={A danger theory inspired artificial immune algorithm for on-line supervised two-class classification problem},
  author={Chenggong Zhang and Zhang Yi},
  journal={Neurocomputing},
  year={2010},
  volume={73},
  pages={1244-1255}
}
Self–nonself discrimination has long been the fundamental model of modern theoretical immunology. Based on this principle, some effective and efficient artificial immune algorithms have been proposed and applied to a wide range of engineering applications. Over the last few years, a new model called ‘‘danger theory’’ has been developed to challenge the classical self–nonself model. In this paper, a novel classification problems. The general framework of the proposed algorithm is described, and… CONTINUE READING
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