The RRBF dynamic representation of time in radial basis function network

Zemouri Ryad; Racoceanu Daniel; Zerhouni Noureddine

The RRBF dynamic representation of time in radial basis function network

Zemouri Ryad
, Racoceanu Daniel
, Zerhouni Noureddine

CNRS Umr 6174

Producción científica: Contribución a una conferencia › Artículo › revisión exhaustiva

10 Citas (Scopus)

Resumen

This paper introduces the Recurrent Radial Basis Function networks (RRBF) for recognition of simple temporal sequence. The RRBF combines features from recurrent neural network and Radial Basis Function networks (RBF). An application has been developed by implementation on the IBM/ZISC (Zero Instruction Set Computer) card for temporal sequences recognition.

Idioma original	Inglés
Páginas	737-740
Número de páginas	4
Estado	Publicada - 2001
Publicado de forma externa	Sí
Evento	8th International Conference on Emerging Technologies and Factory Automation (ETFA 2001) - Antibes-Juan les pins, Francia Duración: 15 oct. 2001 → 18 oct. 2001

Conferencia

Conferencia	8th International Conference on Emerging Technologies and Factory Automation (ETFA 2001)
País/Territorio	Francia
Ciudad	Antibes-Juan les pins
Período	15/10/01 → 18/10/01

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title = "The RRBF dynamic representation of time in radial basis function network",

abstract = "This paper introduces the Recurrent Radial Basis Function networks (RRBF) for recognition of simple temporal sequence. The RRBF combines features from recurrent neural network and Radial Basis Function networks (RBF). An application has been developed by implementation on the IBM/ZISC (Zero Instruction Set Computer) card for temporal sequences recognition.",

author = "Zemouri Ryad and Racoceanu Daniel and Zerhouni Noureddine",

year = "2001",

language = "English",

pages = "737--740",

note = "8th International Conference on Emerging Technologies and Factory Automation (ETFA 2001) ; Conference date: 15-10-2001 Through 18-10-2001",

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The RRBF dynamic representation of time in radial basis function network. / Ryad, Zemouri; Daniel, Racoceanu; Noureddine, Zerhouni.
2001. 737-740 Papel presentado en 8th International Conference on Emerging Technologies and Factory Automation (ETFA 2001), Antibes-Juan les pins, Francia.

Producción científica: Contribución a una conferencia › Artículo › revisión exhaustiva

TY - CONF

T1 - The RRBF dynamic representation of time in radial basis function network

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AU - Daniel, Racoceanu

AU - Noureddine, Zerhouni

PY - 2001

Y1 - 2001

N2 - This paper introduces the Recurrent Radial Basis Function networks (RRBF) for recognition of simple temporal sequence. The RRBF combines features from recurrent neural network and Radial Basis Function networks (RBF). An application has been developed by implementation on the IBM/ZISC (Zero Instruction Set Computer) card for temporal sequences recognition.

AB - This paper introduces the Recurrent Radial Basis Function networks (RRBF) for recognition of simple temporal sequence. The RRBF combines features from recurrent neural network and Radial Basis Function networks (RBF). An application has been developed by implementation on the IBM/ZISC (Zero Instruction Set Computer) card for temporal sequences recognition.

UR - https://www.scopus.com/pages/publications/0035556969

M3 - Paper

AN - SCOPUS:0035556969

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T2 - 8th International Conference on Emerging Technologies and Factory Automation (ETFA 2001)

Y2 - 15 October 2001 through 18 October 2001

ER -

The RRBF dynamic representation of time in radial basis function network

Resumen

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