论文信息 - Comparison of a multi-layered artificial immune system with a kohonen network

Comparison of a multi-layered artificial immune system with a kohonen network

We present a novel multi-layered unsupervised learning artificial immune system (MARIA). We have employed vector quantisation to augment MARIA (and Kohonen Networks) to allow for a comparison of performance between the two systems. Analysis shows that MARIA is competitive with Kohonen Networks on some clustering tasks.

Jonathan Timmis | Thomas Knight

[1] Clonal Selection Theory of Immunity , 1964, Nature.

[2] Remigiusz J. Rak,et al. Vector Quantisation , 1998, Fundam. Informaticae.

[3] R. Fisher. THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS , 1936 .

[4] Thomas Knight,et al. MARIA : a multi-layered unsupervised machine learning algorithm based on the vertebrate immune system , 2005 .

[5] Senhua Yu,et al. MILA - Multilevel Immune Learning Algorithm , 2003, GECCO.

[6] Leandro Nunes de Castro,et al. Artificial Immune Systems: A New Computational Approach , 2002 .

[7] Alex Alves Freitas,et al. Revisiting the Foundations of Artificial Immune Systems: A Problem-Oriented Perspective , 2003, ICARIS.

[8] M. V. Velzen,et al. Self-organizing maps , 2007 .

[9] Mark Neal,et al. An artificial immune system for continuous analysis of time-varying data , 2002 .

[10] Jonathan Timmis,et al. Application Areas of AIS: The Past, The Present and The Future , 2005, ICARIS.

[11] Julie Greensmith,et al. Introducing Dendritic Cells as a Novel Immune-Inspired Algorithm for Anomoly Detection , 2005, ICARIS.

[12] N K Jerne,et al. Towards a network theory of the immune system. , 1973, Annales d'immunologie.

[13] Jonathan Timmis,et al. A resource limited artificial immune system for data analysis , 2001, Knowl. Based Syst..

[14] Jerne Nk. Towards a network theory of the immune system. , 1974 .