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KUANG Yin, HUANG Di-ming. A Design of Mail Filter Based on Antibody Network[J]. Journal of University of Electronic Science and Technology of China, 2006, 35(5): 811-814.
Citation: KUANG Yin, HUANG Di-ming. A Design of Mail Filter Based on Antibody Network[J]. Journal of University of Electronic Science and Technology of China, 2006, 35(5): 811-814.
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A Design of Mail Filter Based on Antibody Network

  • 1.

    Department of Computer,Neijiang Teachers College Neijiang Sichuan 641002;

  • 2.

    School of Computer Science & Engineering,Univ. of Electron. Sci. & Tech. of China Chengdu 610054

  • Received Date: 2004-05-23
  • Publish Date: 2006-10-15
  • The Antibody Network (ABNET), which is a new Artificial Neural Networks (ANN) based on immune principle, has been proved to have good ability of unsupervised and competitive learning in experiments. But there is no precedent to use ABNET in practical engineerings because the present researches about it are still focusing on principle and experiments. While the good qualities of ABNET are reserved, such as structure generated automatically, unsupervised and competitive learning based on clone selection and mutation,the way of initiating ABNET, expressing a antibody, and updating structure is improved properly. The mail filter based on improved ABNET is better at adaptation and accuracy in experiments, compared with traditional mail filters.
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  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

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A Design of Mail Filter Based on Antibody Network

  • 1. Department of Computer,Neijiang Teachers College Neijiang Sichuan 641002;
  • 2. School of Computer Science & Engineering,Univ. of Electron. Sci. & Tech. of China Chengdu 610054
  • Received Date: 2004-05-23
  • Publish Date: 2006-10-15

Abstract: The Antibody Network (ABNET), which is a new Artificial Neural Networks (ANN) based on immune principle, has been proved to have good ability of unsupervised and competitive learning in experiments. But there is no precedent to use ABNET in practical engineerings because the present researches about it are still focusing on principle and experiments. While the good qualities of ABNET are reserved, such as structure generated automatically, unsupervised and competitive learning based on clone selection and mutation,the way of initiating ABNET, expressing a antibody, and updating structure is improved properly. The mail filter based on improved ABNET is better at adaptation and accuracy in experiments, compared with traditional mail filters.

KUANG Yin, HUANG Di-ming. A Design of Mail Filter Based on Antibody Network[J]. Journal of University of Electronic Science and Technology of China, 2006, 35(5): 811-814.
Citation: KUANG Yin, HUANG Di-ming. A Design of Mail Filter Based on Antibody Network[J]. Journal of University of Electronic Science and Technology of China, 2006, 35(5): 811-814.
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