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Title Unlearning dynamics in Hopfield neural network
Creator/Author Plakhov, A.Yu. [Institute of Physicotechnical Problems, Moscow (Russian Federation)]
Publication Date1995 Mar 01
OSTI IdentifierOSTI ID: 223777
Other Number(s)RPQEAC; ISSN 0033-8443
Resource TypeJournal Article
Resource RelationRadiophysics and Quantum Electronics ; VOL. 37 ; ISSUE: 9 ; PBD: Mar 1995; TN: Translated from Izvestiya Vysshikh Uchebnykh Zavedenii, Radiofizika; 37: No. 9, 1104-1115(Sep 1994)
Subject99 MATHEMATICS, COMPUTERS, INFORMATION SCIENCE, MANAGEMENT, LAW, MISCELLANEOUS ; NEURAL NETWORKS; LEARNING; ALGORITHMS; CONVERGENCE; ITERATIVE METHODS
Description/Abstract The dynamics of a convergent iterative unlearning algorithm proposed earlier is examined. A selfconsistent system of equations of the spectral dynamics of a synaptic matrix is obtained at the thermodynamic limit. The unlearning intensity (which varies during the iteration process) that optimizes the algorithm`s rate of convergence on the projector matrix is found. The synaptic-matrix spectrum dynamics for optimal unlearning is determined.
Country of PublicationUnited States
LanguageEnglish
Formatpp. 711-718 ; PL:
System Entry Date2001 May 04

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