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

F. Florez-Revuelta, J.M. García-Chamizo, J. García-Rodríguez, A. Hernández-Sáez

Research output: Contribution to conferencePaperpeer-review

Original languageEnglish
DOIs
Publication statusPublished - Nov 2004
Externally publishedYes
Event9th Ibero-American Conference on AI - Puebla, Mexico
Duration: 22 Nov 200426 Nov 2004

Conference

Conference9th Ibero-American Conference on AI
Period22/11/0426/11/04

Bibliographical note

Note: Published in: Christian Lema├«tre, Carlos A. Reyes, Jesús A. González (2004) Advances in Artificial Intelligence - IBERAMIA 2004 (Lecture Notes in Computer Science, Volume 2004)

Organising Body: Springer Berlin / Heidelberg

Keywords

  • Computer science and informatics
  • Geodesic topographic product: An improvement to measure topology preservation of self-organizing neural networks

    Florez-Revuelta, F., García-Chamizo, J. M., García-Rodríguez, J. & Hernández-Sáez, A., Nov 2004, Published in: Christian Lema├«tre, Carlos A. Reyes, Jesús A. González (2004) Advances in Artificial Intelligence - IBERAMIA 2004 (Lecture Notes in Computer Science, Volume 2004) Organising Body: Springer Berlin / Heidelberg Organising Body: Springer Berlin / Heidelberg. p. 841-850 (Lecture Notes in Computer Science; no. 3315).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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