DocumentCode
2350262
Title
Encoding resolution in Hopfield associative memory networks
Author
Voitovetsky, I. ; Guterman, H.
Author_Institution
Dept. of Electr. & Comput. Eng., Ben-Gurion Univ. of the Negev, Beer-Sheva, Israel
fYear
1995
fDate
7-8 March 1995
Abstract
The number of precision bits for data storage are limited in the hardware implementation of Hopfield type networks. This paper addresses the problem of selection of encoding resolution on the synaptic weights. We investigate the effect of quantization in binary and analog Hopfield networks as a function of data noise and the number of storage patterns. The performance of the networks in terms of recall efficiency was estimated by simulations.
Keywords
Hopfield neural nets; analogue processing circuits; content-addressable storage; quantisation (signal); Hopfield associative memory networks; data noise; encoding resolution; hardware implementation; precision bits; quantization; recall efficiency; storage patterns; synaptic weights; Associative memory; Conductivity; Encoding; Hardware; Integrated circuit interconnections; Intelligent networks; Neural networks; Neurons; Parallel processing; Quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Electronics Engineers in Israel, 1995., Eighteenth Convention of
Conference_Location
Tel Aviv, Israel
Print_ISBN
0-7803-2498-6
Type
conf
DOI
10.1109/EEIS.1995.514160
Filename
514160
Link To Document