Title :
The impact of VLSI technologies on neural networks
Author :
Moini, A. ; Eshraghian, K. ; Bouzerdoum, A.
Author_Institution :
Centre for Gallium Arsenide VLSI Technol., Adelaide Univ., SA, Australia
Abstract :
This paper reviews the current VLSI technologies and their utilization in the implementation of neural networks. The scaling of different technologies, and its limitations are described. Requirements of neural networks in terms of VLSI resources are identified, and the advantages and disadvantages of each technology in offering solutions to these requirements are explained
Keywords :
BiCMOS integrated circuits; CMOS integrated circuits; VLSI; charge-coupled devices; neural chips; VLSI technologies; neural networks; scaling; Australia; BiCMOS integrated circuits; CMOS process; CMOS technology; Charge coupled devices; Educational institutions; Gallium arsenide; Neural network hardware; Neural networks; Very large scale integration;
Conference_Titel :
Neural Networks, 1995. Proceedings., IEEE International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-2768-3
DOI :
10.1109/ICNN.1995.488085
