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
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;
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
DOI :
10.1109/ISCCSP.2008.4537401