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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

  • DOI - Digital Object Identifier

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

  • Czech description

Classification

  • Type

    O - Miscellaneous

  • CEP classification

    IN - Informatics

  • OECD FORD branch

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