2009 International Conference on Computational Intelligence and Security A Novel Classification Method Based on Artificial Immune System and Quantum Mechanics Theory Beijing, China December 11-December 14 ISBN: 978-0-7695-3931-7
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CIS.2009.138
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 Schrö dinger 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.
Index Terms:
computational intelligence, artificial immune system, clustering, quantum mechanics theory, energy level
Citation:
Liling Ma, Zhao Zhang, Xiaohang Zhou, Junzheng Wang, "A Novel Classification Method Based on Artificial Immune System and Quantum Mechanics Theory," cis, vol. 1, pp.11-14, 2009 International Conference on Computational Intelligence and Security, 2009 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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