Analysis of the topology preservation of accelerated growing neural gas in the representation of bidimensional objects

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

Volumn 3040, Issue , 2004, Pages 167-176

  Revuelta, Francisco Flórez ^a   Chamizo, Juan Manuel García ^a   Rodríguez, José García ^a   Sáez, Antonio Hernández ^a  

^a UNIVERSITY OF ALICANTE   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; NEURAL NETWORKS; TECHNOLOGY TRANSFER; CONSTRAINT THEORY; LEARNING SYSTEMS; PARAMETER ESTIMATION; REAL TIME SYSTEMS; SELF ORGANIZING MAPS; TOPOLOGY;

COMPETITIVE LEARNING; GROWING NEURAL GAS; LEARNING PARAMETERS; LEARNING PROCESS; REAL TIME CONSTRAINTS; SELF-ORGANIZING NETWORK; SELF-ORGANIZING NEURAL NETWORK; TOPOLOGY PRESERVATION;

TOPOLOGY; NEURAL NETWORKS;

COMPETITIVE LEARNING; LEARNING PARAMETERS; REAL-TIME CONSTRAINTS; TOPOLOGY PRESERVATION;

EID: 7444266935     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (12)

1. Martinetz, T., Schulten, K.: Topology Representing Networks. Neural Networks, 7(3) (1994) 507-522
2. Fritzke, B.: A Growing Neural Gas Network Learns Topologies. In Advances in Neural Information Processing Systems 7, G. Tesauro, D.S. Touretzky y T.K. Leen (eds.), MIT Press (1995) 625-632
3. Flórez, F., García, J.M., García, J., Hernández, A.: Representation of 2D Objects with a Topology Preserving Network. In Proceedings of the 2nd International Workshop on Pattern Recognition in Information Systems (PRIS’02), Alicante. ICEIS Press (2001) 267-276
4. Flórez, F., García, J.M., García, J., Hernández, A.: Hand Gesture Recognition Following the Dynamics of a Topology-Preserving Network. In Proc. of the 5th IEEE Intern. Conference on Automatic Face and Gesture Recognition, Washington, D.C. IEEE, Inc. (2001) 318-323
5. Kohonen, T.: Self-Organizing Maps. Springer-Verlag, Berlin Heidelberg (1995)
6. Cheng, G., Zell, A.: Double Growing Neural Gas for Disease Diagnosis. In Proceedings of Artificial Neural Networks in Medicine and Biology Conference (ANNIMAB-1), Goteborg, Vol. 5. Springer (2000) 309-314
7. Bauer, H.-U., Pawelzik, K.R.: Quantifying the Neighborhood Preservation of Self- Organizing Feature Maps. IEEE Transactions on Neural Networks, 3(4) (1992) 570-578
8. Flórez, F., García, J.M., García, J., Hernández, A.: Producto Topográfico Geodésico: Mejora para medir la preservación de la topología de redes neuronales auto-organizativas. In Proceedings of the X Conferencia de la Asociación Española de Inteligencia Artificial (CAEPIA’2003), San Sebastián, Vol. II. Servicio Editorial de la Universidad del País Vasco (2003) 87-90
9. Villmann, T., Der, R., Herrmann, M., Martinetz, T.M.: Topology Preservation in Self- Organizing Feature Maps: Exact Definition and Measurement. IEEE Transactions on Neural Networks, 8(2) (1997) 256-266
10. Kaski, S., Lagus, K.: Comparing Self-Organizing Maps. Lecture Notes in Computer Sciences, 1112. Springer, Berlin (1996) 809-814
11. Martinetz, T, Schulten, K.: A “Neural-Gas” Network Learns Topologies. In Artificial Neural Networks, T. Kohonen, K. Mäkisara, O. Simula y J. Kangas (eds.) (1991) 1:397-402
12. Marsland, S., Shapiro, J.; Nehmzow, U.: A self-organising network that grows when required. Neural Networks, 15 (2002) 1041-1058