An Improved Artificial Immune System (AIS) by Considering Different Affinities among Th Cells and Antigens

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概要

• 論文の詳細を見る

• This paper introduces a new artificial immune system (AIS) model to pattern recognition. Inspired by natural immune system, we propose the AIS model, by considering not only the B cells T-cell-dependent and T-cell-independent antigen recognition, but also the different affinities among Th cells and antigens, and apply the model to pattern recognition. We present noisy binary patterns to test its recognition performance. Simulation results indicate that the proposed AIS model has more stable memory capabilities and stronger noise tolerance ability.

• 社団法人 電気学会の論文
• 2007-03-01

著者

• TANG Zheng

  Faculty of Engineering, Toyama University

• Tang Zheng

  Univ. Toyama Toyama‐shi Jpn

• Tang Zheng

  Faculty Of Engineering Miyazaki University

• TANG Zheng

  Graduate School of Innovative Life Science, University of Toyama

• DAI Hongwei

  Faculty of Engineering, Toyama University

• YANG Yu

  Tele Electric Supply Service Co., Ltd.

• Tang Zheng

  Univ. Of Toyama Toyama‐shi Jpn

• Tang Zheng

  Graduate School Of Innovative Life Science University Of Toyama

• YANG Yu

  School of Computer Engineering, Huaihai Institute of Technology

• Yang Yu

  School Of Computer Engineering Huaihai Institute Of Technology

• Dai Hongwei

  School Of Computer Engineering Huaihai Institute Of Technology

• Dai Hongwei

  Faculty Of Engineering Toyama University

• Tang Zheng

  Department Of Computer Science And Technology The Key Laboratory Of Embedded System And Service Comp

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