Immunology as a Metaphor for Computational ... - Napier University

Bibliography 205[Farmer et al., 1986] Farmer, J., Packard N, H., and Perelson, A. (1986). The immunesystem, adaption and machine learning. Physica D, 22:187–204.[Forrest et al., 1997a] Forrest, S., Hofmeyr, S., and Somayaji, A. (1997a). Computerimmunology. Communications of the ACM.[Forrest et al., 1994] Forrest, S., Javornik, B., Allen, L., and Cherukuri, R. (1994).Self-nonself discrimination in a computer. In Proceedings of IEEE Symposium onResearch in Security and Privacy, pages 202–212, Oakland, CA.[Forrest et al., 1993] Forrest, S., Javornik, B., Smith, R., and Perelson, A. (1993). Usinggenetic algorithms to explore pattern recognition in the immune system. EvolutionaryComputation, 1(3):191–211.[Forrest et al., 1997b] Forrest, S., Somayaji, A., and Ackley, D. (1997b). Buildingdiverse computer systems. In Proceedings of the 6th workshop on Hot Topics inOperating Systems, Los Alamitos, CA. IEEE Computer Press.[Fritzke, 1994] Fritzke, B. (1994). Growing cell structures - a self-organizing networkfor unsuperviesd and supervised learning. Neural Networks, 7(9):1441–1460.[Fritzke, 1995] Fritzke, B. (1995). A growing neural gas network learns topologies. InTesauro, G., Touretzky, D., and Leen, T., editors, Advances in Neural InformationProcessing Systems 7, pages 625–632, Cambridge,MA. MIT Press.[Fritzke, 1997a] Fritzke, B. (1997a). A self-organising network that can follow nonstationarydistributions. In Proceedings of ICANN-97, International Conference onArtifical Neural Networks, pages 613–618.[Fritzke, 1997b] Fritzke, B. (1997b). Unsupervised ontogenic networks. In Handbookof Neural Computation, pages C2.1:1–16. IOP Publishing Ltd and Oxford UniversityPress.[Fukuda et al., 1999] Fukuda, T., Mori, K., and Tsukiyama, M. (1999). Artificial ImmuneSystems and their Applications, chapter Immunity-Based Management Systems,pages 278–288. Springer.