Artificial Immune Networks: Models and Applications

In this paper, the theory of natural immune system is first briefly introduced. Several representative artificial immune networks are next discussed. Their principles and learning algorithms are given here in details. Moreover, we demonstrate the applications of these artificial immune networks in the fields of data mining, pattern recognition, and optimization.

[1]  Mohd Aizaini Maarof,et al.  Towards Danger Theory Based Artificial APC Model: Novel Metaphor for Danger Susceptible Data Codons , 2004, ICARIS.

[2]  Xin Jin,et al.  FAISC: A Fuzzy Artificial Immune System Clustering Algorithm , 2007, Third International Conference on Natural Computation (ICNC 2007).

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

[4]  Jonathan Timmis,et al.  AINE: an immunological approach to data mining , 2001, Proceedings 2001 IEEE International Conference on Data Mining.

[5]  Licheng Jiao,et al.  Artificial Immune Strategies Improve the Security of Data Storage , 2005, ICNC.

[6]  Fernando José Von Zuben,et al.  An Evolutionary Immune Network for Data Clustering , 2000, SBRN.

[7]  Jon Timmis,et al.  Jisys: The Envelopment of an Artificial Immune System for Real World Applications , 1999 .

[8]  Susan Stepney,et al.  Towards a Conceptual Framework for Artificial Immune Systems , 2004, ICARIS.

[9]  Fernando José Von Zuben,et al.  Learning and optimization using the clonal selection principle , 2002, IEEE Trans. Evol. Comput..

[10]  Leandro Nunes de Castro,et al.  aiNet: An Artificial Immune Network for Data Analysis , 2002 .

[11]  Teuvo Kohonen,et al.  Self-Organizing Maps , 2010 .

[12]  J Timmis,et al.  An artificial immune system for data analysis. , 2000, Bio Systems.

[13]  Leandro Nunes de Castro,et al.  Bioinformatics Data Analysis Using an Artificial Immune Network , 2003, ICARIS.

[14]  Jonathan Timmis,et al.  Artificial Immune Systems : Using the Immune System as Inspiration for Data Mining , 2001 .

[15]  V. Rao Vemuri,et al.  An artificial immune system approach to document clustering , 2005, SAC '05.

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

[17]  Mircea Gh. Negoita,et al.  Artificial Immune Systems-An Emergent Technology for Autonomous Intelligent Systems and Data Mining , 2005, AIS-ADM.

[18]  L.N. de Castro,et al.  An artificial immune network for multimodal function optimization , 2002, Proceedings of the 2002 Congress on Evolutionary Computation. CEC'02 (Cat. No.02TH8600).

[19]  John Hunt,et al.  Augmenting an artificial immune network , 1998, SMC'98 Conference Proceedings. 1998 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.98CH36218).

[20]  Mark James Neal,et al.  Meta-stable Memory in an Artificial Immune Network , 2003, ICARIS.

[21]  Jonathan Timmis,et al.  Inspiration for the Next Generation of Artificial Immune Systems , 2005, ICARIS.

[22]  Uwe Aickelin,et al.  Cooperative Automated Worm Response and Detection ImmuNe ALgorithm(CARDINAL) Inspired by T-Cell Immunity and Tolerance , 2005, ICARIS.

[23]  D. Wong,et al.  Negative Selection Algorithm for Aircraft Fault Detection , 2004, ICARIS.

[24]  Xin Jin,et al.  Notice of Violation of IEEE Publication PrinciplesAn Artificial Immune Recognition System-based Approach to Software Engineering Management: with Software Metrics Selection , 2006, Sixth International Conference on Intelligent Systems Design and Applications.

[25]  Siu Cheung Hui,et al.  Artificial Immune System for Associative Classification , 2005, ICNC.

[26]  Yu Yang,et al.  Clonal Selection Theory Based Artificial Immune System and Its Application , 2006, ICONIP.

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

[28]  Kemal Polat,et al.  A New Classifier Based on Attribute Weighted Artificial Immune System (AWAIS) , 2004, ISCIS.

[29]  Yoshikazu Yamamoto,et al.  iNet: an extensible framework for simulating immune network , 2000, Smc 2000 conference proceedings. 2000 ieee international conference on systems, man and cybernetics. 'cybernetics evolving to systems, humans, organizations, and their complex interactions' (cat. no.0.

[30]  H. Tamura,et al.  An artificial immune network with diversity for pattern recognition , 2004, SICE 2004 Annual Conference.

[31]  Dipankar Dasgupta,et al.  An immunogenetic approach in chemical spectrum recognition , 2003 .

[32]  João Marcos Travassos Romano,et al.  A paradigm for blind IIR equalization using the constant modulus criterion and an artificial immune network , 2003, 2003 IEEE XIII Workshop on Neural Networks for Signal Processing (IEEE Cat. No.03TH8718).

[33]  Erhan Akin,et al.  Mining Fuzzy Classification Rules Using an Artificial Immune System with Boosting , 2005, ADBIS.

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

[35]  Jonathan Timmis.  Artificial immune systems : a novel data analysis technique inspired by the immune network theory , 2000 .

[36]  Tony White,et al.  Immunity from Spam: An Analysis of an Artificial Immune System for Junk Email Detection , 2005, ICARIS.