Earticle

초록

영어

In this paper, a novel negative selection algorithm for recognition problems was given. Compared with the traditional negative selection algorithm, a co-stimulation signal was added to start the detectors, which a key factor in immune response. Co-stimulation signal was calculated by the techniques of the statistics and the sliding window, which not only reduced time complexity of algorithm but also improved accuracy of the algorithm. Entropy was adopted to evaluate the density of detectors for optimizing the coverage of nonself area. Experiment results proved high accuracy and efficiency of the proposed algorithm.

목차

Abstract
 1. Introduction
 2. Paper Preparation
 3. A Novel Negative Selection Algorithm
  3.1. Co-stimulation Signal
  3.2. Estimation of the Detector Coverage
  3.3. Antigen Recognition
 4. Experiment Results
 5. Conclusion
 References

키워드

저자

• Yuan Tao [ Computation Center, Shanghai University, Shanghai 200444, China ]
• Min Hu [ SHU-UTS SILC Business School, Shanghai University, Shanghai University, Shanghai 201800, China ]
• Yanlin Yu [ SHU-UTS SILC Business School, Shanghai University, Shanghai University, Shanghai 201800, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Hybrid Information Technology

• 간기

  격월간

• pISSN

  1738-9968

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605