Figure C.1. Comparison between several learning rules with K-means clustering, using single-context input
| Figure C.1. | Comparison between several learning rules with K-means clustering, using single-context input |
| Figure C.2. | Comparison between different memory values a in the Recurrent Self Organizing Map (RSOM), using single-context periodic chaos |
| Figure C.3. | Comparison between the different Neighbour Functions in the Recurrent Self Organizing Map (SOM), using single-context periodic chaos and single-context input |
| Figure C.4. | Comparison between the different Neighbour Functions in the Recurrent Self Organizing Map (SOM), using single-context periodic chaos and single-context input |
| Figure C.5. | Comparison between different learning rates Eta and learning rules in the Self Organizing Map (SOM), using single-context input, with Eta = 1 |
| Figure C.6. | Comparison between different learning rates Eta and learning rules in the Self Organizing Map (SOM), using single-context input, with Eta = 0.5 |
| Figure C.7. | Comparison between different learning rates Eta and learning rules in the Self Organizing Map (SOM), using single-context input, with Eta = 0.1 |
| Figure C.8. | Comparison between different learning rates Eta and learning rules in the Self Organizing Map (SOM), using single-context input, with Eta ~ Cst |
| Figure C.9. | Comparison between different learning rates Eta and learning rules in the Self Organizing Map (SOM), using single-context input, with Eta ~ n^-1 |
| Figure C.10. | Comparison between different learning rates Eta and learning rules in the Self Organizing Map (SOM), using single-context input, with Eta ~ sqrt(n)^-1 |
| Figure C.11. | Comparison between different learning rates Eta and learning rules in the Self Organizing Map (SOM), using single-context input, with Eta ~ exp(-n) |
| Figure C.12. | Comparison between different Metrics in the Self Organizing Map (SOM), using single-context input |
| Figure C.13. | Comparison between different Neighbour Radii and Neighbour Functions in the Self Organizing Map (SOM), using single-context input Trian overview |
| Figure C.14. | Comparison between different Neighbour Radii and Neighbour Functions in the Self Organizing Map (SOM), using single-context input Gauss overview |
| Figure C.15. | Comparison between different Neighbour Radii and Neighbour Functions in the Self Organizing Map (SOM), using single-context input Exh./Inh. overview |
| Figure C.16. | Comparison between different Neighbour Radii and Neighbour Functions in the Self Organizing Map (SOM), using single-context input R=2 |
| Figure C.17. | Comparison between different Neighbour Radii and Neighbour Functions in the Self Organizing Map (SOM), using single-context input R=3 |
| Figure C.18. | Comparison between different Neighbour Radii and Neighbour Functions in the Self Organizing Map (SOM), using single-context input R=4 |
| Figure C.19. | Comparison between different Neighbour Radii and Neighbour Functions in the Self Organizing Map (SOM), using single-context input R=5 |
| Figure C.20. | Comparison between different Neighbour Radii and Neighbour Functions in the Self Organizing Map (SOM), using single-context input R=7 |
| Figure C.21. | Comparison between different Neighbour Radii and Neighbour Functions in the Self Organizing Map (SOM), using single-context input R=10 |
| Figure C.22. | Comparison between different Number of input sensors in the Self Organizing Map (SOM), using single-context input |
Figure C.1. Comparison
between several learning rules with K-means clustering, using single-context
input
Figure C.2. Comparison
between different memory values a in the Recurrent Self Organizing Map
(RSOM), using single-context periodic chaos
Figure C.3. Comparison
between the different Neighbour Functions in the Recurrent Self Organizing
Map (SOM), using single-context periodic chaos and single-context input
Figure C.4. Comparison
between the different Neighbour Functions in the Recurrent Self Organizing
Map (SOM), using single-context periodic chaos and single-context input
Figure C.5. Comparison
between different learning rates Eta and learning rules in the Self Organizing
Map (SOM), using single-context input, with Eta = 1
Figure C.6. Comparison
between different learning rates Eta and learning rules in the Self Organizing
Map (SOM), using single-context input, with Eta = 0.5
Figure C.7. Comparison
between different learning rates Eta and learning rules in the Self Organizing
Map (SOM), using single-context input, with Eta = 0.1
Figure C.8. Comparison
between different learning rates Eta and learning rules in the Self Organizing
Map (SOM), using single-context input, with Eta ~ Cst
Figure C.9. Comparison
between different learning rates Eta and learning rules in the Self Organizing
Map (SOM), using single-context input, with Eta ~ n^-1
Figure C.10. Comparison
between different learning rates Eta and learning rules in the Self Organizing
Map (SOM), using single-context input, with Eta ~ sqrt(n)^-1
Figure C.11. Comparison
between different learning rates Eta and learning rules in the Self Organizing
Map (SOM), using single-context input, with Eta ~ exp(-n)
Figure C.12. Comparison
between different Metrics in the Self Organizing Map (SOM), using single-context
input
Figure C.13. Comparison
between different Neighbour Radii and Neighbour Functions in the Self Organizing
Map (SOM), using single-context input
Figure C.14. Comparison
between different Neighbour Radii and Neighbour Functions in the Self Organizing
Map (SOM), using single-context input
Figure C.15. Comparison
between different Neighbour Radii and Neighbour Functions in the Self Organizing
Map (SOM), using single-context input
Figure C.16. Comparison
between different Neighbour Radii and Neighbour Functions in the Self Organizing
Map (SOM), using single-context input
Figure C.17. Comparison
between different Neighbour Radii and Neighbour Functions in the Self Organizing
Map (SOM), using single-context input
Figure C.18. Comparison
between different Neighbour Radii and Neighbour Functions in the Self Organizing
Map (SOM), using single-context input
Figure C.19. Comparison
between different Neighbour Radii and Neighbour Functions in the Self Organizing
Map (SOM), using single-context input
Figure C.20. Comparison
between different Neighbour Radii and Neighbour Functions in the Self Organizing
Map (SOM), using single-context input
Figure C.21. Comparison
between different Neighbour Radii and Neighbour Functions in the Self Organizing
Map (SOM), using single-context input
Figure C.22. Comparison
between different Number of input sensors in the Self Organizing Map (SOM),
using single-context input