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

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£Chapter 6. A Self-Organising SDM — SOSDM 161The size of the other n 1¥ clusters is set to be 200 £ x¥§
Chapter 6. A Self-Organising SDM — SOSDM 162Average fitness51504948474645444342SOSDM: mean fitness of all dataPotter: mean fitness of all dataSOSDM: mean fitness of group 1Potter: mean fitness of group 1base line4110 20 30 40 50 60 70 80 90 100Number of antigens in smallest cluster (group 1)Figure 6.9: Half-Schema: Figure shows average best fitness recorded across entiredataset, and for smallest cluster only. Comparison is shown for SOSDM/Potter algorithms44Average Fitness4342414039SOSDM: mean fitness of entire datasetPotter: mean fitness of entire datasetbase lineSOSDM: mean fitness of group 138Potter: mean fitness of group 1370 5 10 15 20 25 30 35 40 45 50Number of antigens in smallest cluster (group 1)Figure 6.10: Quarter-Schema: Figure shows average best fitness recorded across entiredataset, and for smallest cluster only. Comparison is shown for SOSDM/Potteralgorithms
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AbstractThe biological immune syste
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DeclarationI declare that this thes
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Table of Contents1 Introduction 11.
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5.3.1 Default Parameters . . . . .
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List of Figures2.1 ’Lock and Key
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List of Tables2.1 Structural and fu
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Chapter 1IntroductionThe study of b
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Chapter 1. Introduction 3scientists
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Chapter 1. Introduction 5Thus, the
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Chapter 1. Introduction 7of the cha
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Chapter 1. Introduction 94. Analysi
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Chapter 2. Background 11paratopeepi
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Chapter 2. Background 13antigenepit
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£Chapter 2. Background 15low the m
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Chapter 2. Background 17Antigene 0p
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Chapter 2. Background 19maintained
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E £ ρ¥ £Chapter 2. Background 2
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Chapter 2. Background 23genetically
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Chapter 2. Background 251. Choose a
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Chapter 2. Background 27non-interbr
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Chapter 2. Background 29been made i
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Chapter 2. Background 31patterns wi
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Chapter 2. Background 33reported on
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Chapter 2. Background 35Immunos 81
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Chapter 2. Background 37recognition
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Chapter 2. Background 391. Create a
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Chapter 2. Background 41environment
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Chapter 2. Background 43a)input dat
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Chapter 2. Background 45antibody wi
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Chapter 3. Immune Systems for Sched
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££Chapter 3. Immune Systems for S
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Chapter 4Applying an Immune System
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Chapter 4. Applying an Immune Syste
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Page 130 and 131: Chapter 5. EA Based Model — COSDM
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Page 156 and 157: Chapter 6. A Self-Organising SDM
Page 166 and 167: J:¡Chapter 6. A Self-Organising SD
Page 168 and 169: ¡¡¡Chapter 6. A Self-Organising
Page 178 and 179: g£££1 At iteration 0 of the algo
Page 194 and 195: Chapter 7Conclusion7.1 OverviewThis
Page 196 and 197: Chapter 7. Conclusion 181however wh
Page 198 and 199: Chapter 7. Conclusion 183features m
Page 200 and 201: Chapter 7. Conclusion 185In additio
Page 202 and 203: Chapter 7. Conclusion 187ter, sched
Page 204 and 205: Chapter 7. Conclusion 189Clustering
Page 206 and 207: Chapter 7. Conclusion 191nature in
Page 208 and 209: Appendix ACoincidences in permutati
Page 210 and 211: Appendix BExperimental results obta
Page 212 and 213: Appendix B. Experimental results ob
Page 218 and 219: Bibliography 203[Cooke and Hunt, 19
Page 220 and 221: Bibliography 205[Farmer et al., 198
Page 222 and 223: Bibliography 207[Hart et al., 1998]
Page 224 and 225: Bibliography 209[Kohonen, 1982b] Ko
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Bibliography 211[Potter and De Jong
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Bibliography 213[Timmis et al., 199
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