New neural architectures and new adaptive evaluation of chaotic time series
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F11%3A00185706" target="_blank" >RIV/68407700:21220/11:00185706 - 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
New neural architectures and new adaptive evaluation of chaotic time series
Original language description
The paper deals with the following items: 1. Methods of Evaluation of Complex time series by common nonlinear methods 2. Issues of Evaluation of Deterministic Chaos by existing nonlinear methods 3. Evaluation of Complex time series by nonconventional neural units 4. Adaptive sample by sample evaluation of real complex systems 5. Limits and Advantages of the proposed methods.
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/TA01020698" target="_blank" >TA01020698: Technology and System for Physical and Spatial Characteristics Determination for Protection and Formation of Environment and for Increasing of Energy Sources Potential</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů