DocumentCode
1708927
Title
Time-delay radial basis functions in silicon for phoneme recognition
Author
Gatt, E. ; Micallef, J. ; Chilton, E.
Author_Institution
Dept. of Microelectron. & Nanoelectron., Univ. of Malta, Msida
fYear
2008
Firstpage
1163
Lastpage
1166
Abstract
This paper presents the implementation of a time-delay radial basis function (TD-RBF) neural network (NN) using three VLSI neural network systems. 1) A chip for implementing self-organising maps; 2) a radial basis function chip 3. A back-propagation learning chip; 3) the first chip was implemented using mixed mode technology, while the other two chips used analogue technology. The chips have been fabricated and a TD-RBF NN been applied successfully to the task of phoneme recognition. Analogue technology has been adopted mainly in order to attain the high processing speeds that analogue neural networks can acquire. Analogue technology also provides the benefit of designs with reduced power dissipation, low voltage operation and lower area cost.
Keywords
VLSI; backpropagation; delays; pattern recognition; radial basis function networks; self-organising feature maps; VLSI neural network systems; analogue technology; backpropagation learning chip; mixed mode technology; phoneme recognition; power dissipation reduction; self-organising maps; time-delay radial basis functions; voltage operation; Backpropagation; Hardware; Large-scale systems; Network topology; Neural networks; Radial basis function networks; Signal processing algorithms; Silicon; Supervised learning; Unsupervised learning; VLSI; neural networks; phoneme recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, Control and Signal Processing, 2008. ISCCSP 2008. 3rd International Symposium on
Conference_Location
St Julians
Print_ISBN
978-1-4244-1687-5
Electronic_ISBN
978-1-4244-1688-2
Type
conf
DOI
10.1109/ISCCSP.2008.4537401
Filename
4537401
Link To Document