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

[2]  H. Abbass,et al.  aiNet : An Artificial Immune Network for Data Analysis , 2022 .

[3]  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).

[4]  G. G. Stokes.  "J." , 1890, The New Yale Book of Quotations.

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

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

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

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

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

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

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

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

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

[14]  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).

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

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

[17]  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.

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

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

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

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

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

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

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

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

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

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

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

[29]  F. von Zuben,et al.  An evolutionary immune network for data clustering , 2000, Proceedings. Vol.1. Sixth Brazilian Symposium on Neural Networks.

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

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

[32]  Yiwen Liang,et al.  Self-regulating Method for Model Library Based Artificial Immune Systems , 2005, ICARIS.

[33]  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.

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

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

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

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

[38]  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).

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