Title :
From the spherical to an elliptic form of the dynamic RBF neural network influence field
Author :
Zemouri, Ryad ; Racoceanu, Daniel ; Zerhouni, Noureddine
Author_Institution :
Lab. d´´Automatique de Besancon, France
fDate :
6/24/1905 12:00:00 AM
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
Keywords :
computerised monitoring; process monitoring; production engineering computing; radial basis function networks; dynamic RBF neural network influence field; elliptic influence field form; monitoring; self-connection; spherical influence field form; supplementary RBF layer; Artificial intelligence; Condition monitoring; Cost function; Interpolation; Modems; Neural networks; Production systems; Prototypes; Radial basis function networks; Shape;
Conference_Titel :
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7278-6
DOI :
10.1109/IJCNN.2002.1005452
