Articolo in rivista, 2003, ENG
Di Bona S.; Salvetti O.
CNR-ISTI, Pisa, Italy; CNR-ISTI, Pisa, Italy
A neural network architecture is presented for monitoring events coded in image time sequences. The image sequence defines the sampling of high frequency phenomena where only morphological aspects of the scene are taken into account. In particular a model for implementing a hierarchical neural network architecture is proposed. Preliminary results are shown in the study of the oscillation states in the flame front of the power plant gas combustors.
Pattern recognition and image analysis 13 , pp. 86–89
Di Bona Sergio, Salvetti Ovidio
ISTI – Istituto di scienza e tecnologie dell'informazione "Alessandro Faedo"
ID: 68276
Year: 2003
Type: Articolo in rivista
Creation: 2009-06-16 00:00:00.000
Last update: 2023-03-18 12:22:13.000
CNR authors
External IDs
CNR OAI-PMH: oai:it.cnr:prodotti:68276