Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
String Measure Applied to String Self-organizing Maps and Networks of Evolutionary Processors
Year:2009
Research Areas
  • Artificial intelligence
Information
Abstract
This paper shows some ideas about how to incorporate a string learning stage in self-organizing algorithms. T. Kohonen and P. Somervuo have shown that self-organizing maps (SOM) 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.
International
Si
JCR
No
Title
International Book Series
ISBN
1313-0455
Impact factor JCR
0
Impact info
Volume
8
Journal number
0
From page
27
To page
31
Month
ENERO
Ranking
Participants
  • Autor: Nuria Gomez Blas (UPM)
  • Autor: Fernando de Mingo Lopez (UPM)
  • Autor: Fco. Javier Gisbert Canto (UPM)
  • Autor: Juan Manuel Garitagoitia Martin (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Computación Natural
  • Grupo de Investigación: Grupo de Señal Fotónica
  • Departamento: Organización y Estructura de la Información
  • Departamento: Lenguajes y Sistemas Informáticos e Ingeniería de Software
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