Distributive properties of main overlap and noise terms in Autoassociative Memory Networks

Alan M.N. Fu; Hong Yan

doi:10.1016/0893-6080(94)00081-V

Distributive properties of main overlap and noise terms in Autoassociative Memory Networks

Alan M.N. Fu, Hong Yan

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

3 Citations (Scopus)

Abstract

The distributive properties of both main overlap and noise terms of an autoassociative memory network are analyzed with computer simulations. Some interesting statistical properties of the main overlap and noises have been exposed. The results provide an important basis for the establishment of a mathematical model that is capable of describing the dynamics of the neural network. © 1995.

Original language	English
Pages (from-to)	405-410
Journal	Neural Networks
Volume	8
Issue number	3
DOIs	https://doi.org/10.1016/0893-6080(94)00081-V
Publication status	Published - 1995
Externally published	Yes

Research Keywords

Autoassociative memory network
Distributive properties
Main overlap
Noise terms

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10.1016/0893-6080(94)00081-V

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title = "Distributive properties of main overlap and noise terms in Autoassociative Memory Networks",

abstract = "The distributive properties of both main overlap and noise terms of an autoassociative memory network are analyzed with computer simulations. Some interesting statistical properties of the main overlap and noises have been exposed. The results provide an important basis for the establishment of a mathematical model that is capable of describing the dynamics of the neural network. {\textcopyright} 1995.",

keywords = "Autoassociative memory network, Distributive properties, Main overlap, Noise terms",

author = "Fu, {Alan M.N.} and Hong Yan",

year = "1995",

doi = "10.1016/0893-6080(94)00081-V",

language = "English",

volume = "8",

pages = "405--410",

journal = "Neural Networks",

issn = "0893-6080",

publisher = "Elsevier Ltd.",

number = "3",

}

TY - JOUR

T1 - Distributive properties of main overlap and noise terms in Autoassociative Memory Networks

AU - Fu, Alan M.N.

AU - Yan, Hong

PY - 1995

Y1 - 1995

N2 - The distributive properties of both main overlap and noise terms of an autoassociative memory network are analyzed with computer simulations. Some interesting statistical properties of the main overlap and noises have been exposed. The results provide an important basis for the establishment of a mathematical model that is capable of describing the dynamics of the neural network. © 1995.

AB - The distributive properties of both main overlap and noise terms of an autoassociative memory network are analyzed with computer simulations. Some interesting statistical properties of the main overlap and noises have been exposed. The results provide an important basis for the establishment of a mathematical model that is capable of describing the dynamics of the neural network. © 1995.

KW - Autoassociative memory network

KW - Distributive properties

KW - Main overlap

KW - Noise terms

UR - http://www.scopus.com/inward/record.url?scp=0028998765&partnerID=8YFLogxK

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-0028998765&origin=recordpage

U2 - 10.1016/0893-6080(94)00081-V

DO - 10.1016/0893-6080(94)00081-V

M3 - RGC 21 - Publication in refereed journal

SN - 0893-6080

VL - 8

SP - 405

EP - 410

JO - Neural Networks

JF - Neural Networks

IS - 3

ER -

Distributive properties of main overlap and noise terms in Autoassociative Memory Networks

Abstract

Research Keywords

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