Exponential Transients in Continuous-Time Symmetric Hopfield Nets.
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F01%3A06010035" target="_blank" >RIV/67985807:_____/01:06010035 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Exponential Transients in Continuous-Time Symmetric Hopfield Nets.
Original language description
We establish a fundamental result in the theory of continuosu-time neural computation, by showing that so called continuous-time symmetric Hopfield nets, whose asymptotic convergence is always guaranteed by the existence of a Liapunov function may, in the worst case, possess a transient period that is exponential in the network size. The result stands in contrast to e.g. the use of such network models in combinatorial optimization applications.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BA - General mathematics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2001
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Artificial Neural Networks - ICANN 2001. Proceedings.
ISBN
3-540-42486-5
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
806-813
Publisher name
Springer-Verlag
Place of publication
Berlin
Event location
Vienna [AT]
Event date
Aug 21, 2001
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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