Self-organizing maps with non-cooperative strategies (SOM-NC)

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5629 LNCS, Issue , 2009, Pages 200-208

  Neme, Antonio ^a   Hernández, Sergio ^a   Neme, Omar ^b   Hernández, Leticia ^a  

^a UNIVERSIDAD NACIONAL AUTÓNOMA DE MÉXICO   (Mexico)

^b INSTITUTO POLITÉCNICO NACIONAL   (Mexico)

Author keywords

[No Author keywords available]

Indexed keywords

BEST MATCHING UNITS; NON-COOPERATIVE; ORIGINAL MODEL; SELF-ORGANIZATIONS; TRAINING SCHEMES; TWO PHASIS; WEIGHT VECTOR;

CONFORMAL MAPPING; GAME THEORY;

SELF ORGANIZING MAPS;

EID: 69049104265     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02397-2_23     Document Type: Conference Paper

References (11)

1. Cottrell, M., Fort, J.C., Pagés, G.: Theoretical aspects of the SOM algorithm. Neurocomputing 21, 119-138 (1998)
2. Kohonen, T.: Self-Organizing maps, 3rd edn. Springer, Heidelberg (2000)
3. Ritter, H.: Self-Organizing Maps on non-euclidean Spaces Kohonen Maps. In: Oja, E., Kaski, S. (eds.), pp. 97-108 (1999)
4. Flanagan, J.: Sufficiente conditions for self-organization in the SOM with a decreasing neighborhood function of any width. In: Conf. of Art. Neural Networks. Conf. pub. No. 470 (1999)
5. Camazine, S., Deneuburg, J., Franks, N., Sneyd, J., Theraulaz, G., Bonabeau, E.: Self-organization in biological systems. Princeton University Press, Princeton (2001)
6. Haken, H.: Information and self-organization. Springer, Heidelberg (2000)
7. Osborne, M., Rubinstein, A.: A course in Game Theory. MIT Press, Cambridge (1994)
8. Herbert, J., Yao, J.: GTSOM: Game Theoretic Self-organizing Maps. In: Trens in neural computation. Springer, Heidelberg (2007)
9. Erwin, Obermayer, K., Schulten, K.: Self-organizing maps: Ordering, convergence properties and energy functions. Biol. Cyb. 67, 47-55 (1992)
10. Bauer, H., Herrmann, M., Villmann, T.: Neural Maps and Topographic Vector Quantization. Neural Networks 12(4-5), 659-676 (1999)
11. Quinlan, R.: Improved use of continuous attributes in c4.5. Journal of Artificial Intelligence Research 4, 77-90 (1996)