DocumentCode
2821772
Title
Unstable vectors in Hopfield nets
Author
Lai, W.K. ; Coghill, G.G.
Author_Institution
Dept. of Electr. & Electron. Eng., Auckland Univ., New Zealand
fYear
1991
fDate
11-14 Jun 1991
Firstpage
2530
Abstract
It has been shown that the storage capacity of the Hopfield net is a function of the size of the network. However, it is also known that even if the number of input vectors is less than the maximum storage capacity of the network, incorrect associations can still occur. Such problems exist if these vectors have too large an overlap. The authors show some experimental results, as well as the mathematical analysis relating the stability of the input vectors to a similarity measure based on the Hamming distance
Keywords
content-addressable storage; neural nets; Hamming distance; Hopfield nets; associative memories; error correction; incorrect associations; input vectors; mathematical analysis; random vectors; similarity measures; stability; storage capacity; unstable vectors; Artificial neural networks; Associative memory; Feeds; Hamming distance; Hopfield neural networks; Intelligent networks; Mathematical analysis; Neural networks; Neurons; Stability analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1991., IEEE International Sympoisum on
Print_ISBN
0-7803-0050-5
Type
conf
DOI
10.1109/ISCAS.1991.176042
Filename
176042
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