Title :
Digital implementation of neural networks with quantized neurons
Author :
Tang, C.Z. ; Kwan, H.K.
Author_Institution :
Dept. of Electr. Eng., Windsor Univ., Ont., Canada
Abstract :
A new model of multilayer feedforward neural networks with quantized neurons is proposed in this paper. The proposed model has substantial advantage for digital VLSI implementation in terms of reduced silicon area and increased operational speed in application. The feasibility of this approach was verified by simulation results
Keywords :
VLSI; feedforward neural nets; neural chips; digital VLSI; multilayer feedforward neural network; operational speed; quantized neurons; silicon area; simulation; Backpropagation algorithms; Convergence; Feedforward neural networks; Multi-layer neural network; Neural network hardware; Neural networks; Neurons; Quantization; Silicon; Very large scale integration;
Conference_Titel :
Circuits and Systems, 1997. ISCAS '97., Proceedings of 1997 IEEE International Symposium on
Print_ISBN :
0-7803-3583-X
DOI :
10.1109/ISCAS.1997.608912
