SOAN: Self organizing with adaptive neighborhood neural network

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

Volumn 1606, Issue , 1999, Pages 591-600

  Iglesias, R ^a   Barro, S ^a  

^a UNIVERSITY OF SANTIAGO DE COMPOSTELA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; COMPUTERS;

ADAPTIVE NEIGHBORHOOD; NEIGHBOURHOOD; SOM NETWORKS;

NEURAL NETWORKS;

EID: 84957646692     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/BFb0098217     Document Type: Conference Paper

References (7)

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2. M. Afzal Upal, E. M. Neufeld, Comparison of Unsupervised Classifiers. In Proceedings of ISIS'96:342-353, World Scientific.
3. J. Mufioz Aprendizaje competitivo para ta cuantificacidn vectorial. In Proceedings of CAEPIA'97:377-385,1997. In spanish.
4. T. Kohonen, J. Hynninen, Jari Kangas and J. Laaksonen. SOM_PAK: The Self- Organizing Map Program Package. Laboratory of Computer and Information Science, Faculty of Information Technology, Helsinki University of Technology, Report A31, Otaniemi 1996
5. Keinosuke Fukinaga. Introduction to Statistical Pattern Recognition. Computer Science and Scientific Computing, W. Rheinboldt and D. Siewiorek (Eds.) Academic Press.
6. R. Schalkoff Pattern Recognition: Statistical, Structural and Neural Approaches. John Wiley &: Sons.
7. Gail A. Carpenter y Stephen Grossberg. ART 2: Self-organization of stable category recognition codes for analog input patterns. Applied optics, 26(23):4919-4930.