1[1]DasguptaD., Attoh-Okine N. Innunity-based Systems: A Survey. In: Proc 1997 IEEE Int Conf on Systems. Man and Cybernetics, Orlando, FL, USA, 1997, 1: 869-874.
2[2]Jerne N K. Toward a Network Theory of the Immune System.Annual Immunology, 1974, 125c: 373-389.
3[3]ForrestS, PerelsonAS, AllenL, CherukuriR. Self-nonself Discrimination in a Computer. In: Proc IEEE Symposium on Research in Security and Privacy, Okaland, CA, 1994, 202-212.
4[4]DasguptaD., & Forrest, S. Artificial Immune Systems in Industrial Applications. In Proc of the IPMM ' 99, 1999, 257-267.
5De Castro, Fernando J. An Evolutionary Immune Network for Data Clustering. In Proc. of the IEEE SBRN, November 2000.
6S. Forrest, B. Javornik, R. E. Smith and A. S. Perelson. Using genetic algorithms to explore pattern recognition in the immune system.Evolutionary Computation, 1993.
7P.J.Costa Branco. J.A.Dente, and R.Vilela Mends. Using Immunology Principles for Fault Detection. IEEE Transactions On Industrial Electronics, vol 50, No.2 Alaril 2003.
8Gary G.Yen and Liang_Wei Ho. Online Mutiple-Model-Based Fault Diagnosis and Accommodation. IEEE Trandactions On Industrial Electronics, vol 50, No. 2 April 2003.
9Timmis J.& Neal M, & Hunt J. AN artificial immune system for data analysis.Biosystems, 2000.
10Liu S L, Zhang J Z, Shi W G, et al. Negative-selection algo-rithm based approach for fault diagnosis of rotary machine-ry. In:Proceedings of American Control Conference. Anch-orage, Alaska, USA, 2002:3 955~3 960