Quadratic neural unit for adaptive prediction of transitions among local attractors of Lorenz system
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F08%3A00149070" target="_blank" >RIV/68407700:21220/08:00149070 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Quadratic neural unit for adaptive prediction of transitions among local attractors of Lorenz system
Original language description
The goal of the paper is to demonstrate an adaptive prediction of trajectory transitions between local attractors of deterministic chaotic systems using low-dimensional dynamic quadratic neural unit with periodically forced neural inputs.
Czech name
—
Czech description
—
Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
—
Result continuities
Project
<a href="/en/project/2B06023" target="_blank" >2B06023: Development of a method for estimation of energy and matter fluxes in selected ecosystems; formulation and verification of principles for evaluation of conditions supporting selfregulation and biodiversity.</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2008
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Automation and Logistics, 2008. ICAL 2008. IEEE International Conference on
ISBN
978-1-4244-2502-0
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
—
Publisher name
IEEE
Place of publication
Halifax
Event location
Qingdao
Event date
Sep 1, 2008
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000263554800028