DocumentCode
2688517
Title
Fully digital neural network implementation based on pulse density modulation
Author
Tomberg, Jouni ; Ritoniemi, Tapani ; Kaski, Kimmo ; Tenhunen, Hannu
fYear
1989
fDate
15-18 May 1989
Abstract
An efficient implementation of a Hopfield-type fully connected neural-network architecture is presented that is based on a pulse-density modulation technique implemented by using fully digital structures. The synaptic weights are programmable, and thus the area of one synapse and the entire network depends on the resolution of the weight. Advantages of the design are its modularity and expandability
Keywords
VLSI; digital integrated circuits; neural nets; parallel architectures; Hopfield-type fully connected neural-network architecture; VLSI; digital neural network implementation; expandability; fully digital structures; modularity; programmable synaptic weights; pulse density modulation;
fLanguage
English
Publisher
ieee
Conference_Titel
Custom Integrated Circuits Conference, 1989., Proceedings of the IEEE 1989
Conference_Location
San Diego, CA, USA
Type
conf
DOI
10.1109/CICC.1989.56744
Filename
5726211
Link To Document