From the spherical to an elliptic form of the dynamic RBF neural network influence field

Ryad Zemouri; Daniel Racoceanu; Noureddine Zerhouni

From the spherical to an elliptic form of the dynamic RBF neural network influence field

Ryad Zemouri, Daniel Racoceanu, Noureddine Zerhouni

Lab. Automatique de Besançon

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

2 Citas (Scopus)

Resumen

We introduce a new neural network architecture corresponding to the dynamic RBF with an elliptic influence field. The dynamic aspect is obtained with a self-connection, and the elliptic influence field form, by adding a supplementary RBF layer. The modified RBF neural network gives good results in monitoring applications.

Idioma original	Inglés
Páginas	107-112
Número de páginas	6
Estado	Publicada - 2002
Publicado de forma externa	Sí
Evento	2002 International Joint Conference on Neural Networks (IJCNN '02) - Honolulu, HI, Estados Unidos Duración: 12 may. 2002 → 17 may. 2002

Conferencia

Conferencia	2002 International Joint Conference on Neural Networks (IJCNN '02)
País/Territorio	Estados Unidos
Ciudad	Honolulu, HI
Período	12/05/02 → 17/05/02

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title = "From the spherical to an elliptic form of the dynamic RBF neural network influence field",

abstract = "We introduce a new neural network architecture corresponding to the dynamic RBF with an elliptic influence field. The dynamic aspect is obtained with a self-connection, and the elliptic influence field form, by adding a supplementary RBF layer. The modified RBF neural network gives good results in monitoring applications.",

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

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From the spherical to an elliptic form of the dynamic RBF neural network influence field. / Zemouri, Ryad; Racoceanu, Daniel; Zerhouni, Noureddine.
2002. 107-112 Papel presentado en 2002 International Joint Conference on Neural Networks (IJCNN '02), Honolulu, HI, Estados Unidos.

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

TY - CONF

T1 - From the spherical to an elliptic form of the dynamic RBF neural network influence field

AU - Zemouri, Ryad

AU - Racoceanu, Daniel

AU - Zerhouni, Noureddine

PY - 2002

Y1 - 2002

N2 - We introduce a new neural network architecture corresponding to the dynamic RBF with an elliptic influence field. The dynamic aspect is obtained with a self-connection, and the elliptic influence field form, by adding a supplementary RBF layer. The modified RBF neural network gives good results in monitoring applications.

AB - We introduce a new neural network architecture corresponding to the dynamic RBF with an elliptic influence field. The dynamic aspect is obtained with a self-connection, and the elliptic influence field form, by adding a supplementary RBF layer. The modified RBF neural network gives good results in monitoring applications.

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M3 - Paper

AN - SCOPUS:0036079672

SP - 107

EP - 112

T2 - 2002 International Joint Conference on Neural Networks (IJCNN '02)

Y2 - 12 May 2002 through 17 May 2002

ER -

From the spherical to an elliptic form of the dynamic RBF neural network influence field

Resumen

Conferencia

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