Geodesic topographic product: An improvement to measure topology preservation of self-organizing neural networks

Florez-Revuelta, F., García-Chamizo, J.M., García-Rodríguez, J. and Hernández-Sáez, A. (2004) Geodesic topographic product: An improvement to measure topology preservation of self-organizing neural networks. In: 9th Ibero-American Conference on AI; 22-26 Nov, 2004, Puebla, Mexico. (Lecture Notes in Computer Science, no. 3315) ISBN 9783540238065

Full text not available from this archive.
Item Type: Conference or Workshop Item (Paper)
Event Title: 9th Ibero-American Conference on AI
Organising Body: Springer Berlin / Heidelberg
Additional Information: Published in: Christian Lemaître, Carlos A. Reyes, Jesús A. González (2004) Advances in Artificial Intelligence – IBERAMIA 2004 (Lecture Notes in Computer Science, Volume 2004)
Research Area: Computer science and informatics
Faculty, School or Research Centre: Faculty of Computing, Information Systems and Mathematics (until 2011)
Depositing User: Automatic Import Agent
Date Deposited: 07 Apr 2014 15:52
Last Modified: 07 Apr 2014 15:52
DOI: https://doi.org/10.1007/978-3-540-30498-2_84
URI: http://eprints.kingston.ac.uk/id/eprint/23834

Actions (Repository Editors)

Item Control Page Item Control Page