A novel classification method based on artificial immune system and quantum mechanics theory

Ma Liling*, Zhao Zhang, Xiaohang Zhou, Junzheng Wang

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

2 引用 (Scopus)

摘要

Inspired by natural immune systems, Artificial Immune System (AIS) is an emerging kind of computational intelligence paradigm. The traditional immune algorithm and Ai-net for clustering still have the problems of training time-consumption and accuracy. In this paper, AIS Algorithm is improved with Quantum Mechanics theory and the Schrödinger equation to add the idea of the energy level into the immune net. The analysis and simulation data are taken from UCI data. It is proved that the accuracy of the artificial immune system is improved, while gaining better training speed compared with the one with border methods such as SVM at the same degree of precision.

源语言英语
主期刊名CIS 2009 - 2009 International Conference on Computational Intelligence and Security
11-14
页数4
DOI
出版状态已出版 - 2009
活动2009 International Conference on Computational Intelligence and Security, CIS 2009 - Beijing, 中国
期限: 11 12月 200914 12月 2009

出版系列

姓名CIS 2009 - 2009 International Conference on Computational Intelligence and Security
1

会议

会议2009 International Conference on Computational Intelligence and Security, CIS 2009
国家/地区中国
Beijing
时期11/12/0914/12/09

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