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Memorias de investigación
Research Publications in journals:
A String Measure with Symbols Generation: String Self-Organizing Maps
Year:2009
Research Areas
  • Artificial intelligence
Information
Abstract
T. Kohonen and P. Somervuo have shown that self organizing maps (SOMs) are not restricted to numerical data. This paper proposes a symbolic measure that is used to implement a string self organizing map based on SOM algorithm. Such measure between two strings is a new string. Computation over strings is performed using a priority relationship among symbols, in this case, symbolic measure is able to generate new symbols. A complementary operation is defined in order to apply such measure to DNA strands. Finally, an algorithm is proposed in order to be able to implement a string self organizing map. This paper discusses the possibility of defining neural networks to rely on similarity instead of distance and shows examples of such networks for symbol strings.
International
Si
JCR
No
Title
Lecture notes in computer science
ISBN
0302-9743
Impact factor JCR
0
Impact info
Volume
Journal number
5507
From page
123
To page
130
Month
ENERO
Ranking
Participants
  • Autor: Fernando de Mingo Lopez (UPM)
  • Autor: Nuria Gomez Blas (UPM)
  • Autor: Miguel Angel Diaz Martinez (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Computación Natural
  • Grupo de Investigación: Grupo de Señal Fotónica
  • Grupo de Investigación: Agentes Inteligentes y Computación Ubicua
  • Departamento: Organización y Estructura de la Información
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