Memorias de investigación
Artículos en revistas:
Fusion of probabilistic knowledge-based classification rules and learning automata for automatic recognition of digital images
Año:2013
Áreas de investigación
  • Inteligencia artificial (redes neuronales, lógica borrosa, sistemas expertos, etc)
Datos
Descripción
In this paper, the fusion of probabilistic knowledge-based classification rules and learning automata theory is proposed and as a result we present a set of probabilistic classification rules with self-learning capability. The probabilities of the classification rules change dynamically guided by a supervised reinforcement process aimed at obtaining an optimum classification accuracy. This novel classifier is applied to the automatic recognition of digital images corresponding to visual landmarks for the autonomous navigation of an unmanned aerial vehicle (UAV) developed by the authors. The classification accuracy of the proposed classifier and its comparison with well-established pattern recognition methods is finally reported.
Internacional
Si
JCR del ISI
Si
Título de la revista
Pattern Recognition Letters
ISSN
0167-8655
Factor de impacto JCR
1,034
Información de impacto
Datos JCR del año 2011
Volumen
34
DOI
Número de revista
14
Desde la página
1719
Hasta la página
1724
Mes
OCTUBRE
Ranking
Esta actividad pertenece a memorias de investigación
Participantes
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Departamento: Inteligencia Artificial