Title :
The RRBF. Dynamic representation of time in radial basis function network
Author :
Ryad, Zemouri ; Daniel, Racoceanu ; Noureddine, Zerhouni
Author_Institution :
Inst. de Productique, Lab. d´´Automatique de Besancon, France
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.
Keywords :
radial basis function networks; recurrent neural nets; RRBF; Radial Basis Function networks; Recurrent Radial Basis Function; recurrent neural network; temporal sequence; temporal sequences recognition; Application software; Artificial neural networks; Biological neural networks; Biological system modeling; Computer aided instruction; Computer architecture; Delay effects; Intelligent networks; Neural networks; Radial basis function networks;
Conference_Titel :
Emerging Technologies and Factory Automation, 2001. Proceedings. 2001 8th IEEE International Conference on
Conference_Location :
Antibes-Juan les Pins, France
Print_ISBN :
0-7803-7241-7
DOI :
10.1109/ETFA.2001.997771
