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Description
  • Non-linear dynamic systems and the types of their outputs with deterministic chaos are introduces. The classical non-linear methods for the analysis and the evaluation of their output signals as are Correlation Dimension, Lyapunov Exponents and Recurrence plot, are described. The quality of results acquired by these methods are discussed. As an innovation - various types of Higher Order Non-linear Neural Units (HONNU) are deployed. A few applications are demonstrated. As a conclusions - the limitations and advantages of the introduced methods with HONNU are proposed.
  • Non-linear dynamic systems and the types of their outputs with deterministic chaos are introduces. The classical non-linear methods for the analysis and the evaluation of their output signals as are Correlation Dimension, Lyapunov Exponents and Recurrence plot, are described. The quality of results acquired by these methods are discussed. As an innovation - various types of Higher Order Non-linear Neural Units (HONNU) are deployed. A few applications are demonstrated. As a conclusions - the limitations and advantages of the introduced methods with HONNU are proposed. (en)
Title
  • New Neural Architectures and new adaptive evaluation of chaotic time series
  • New Neural Architectures and new adaptive evaluation of chaotic time series (en)
skos:prefLabel
  • New Neural Architectures and new adaptive evaluation of chaotic time series
  • New Neural Architectures and new adaptive evaluation of chaotic time series (en)
skos:notation
  • RIV/68407700:21220/10:00170480!RIV14-MSM-21220___
http://linked.open...avai/riv/aktivita
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  • P(2B06023)
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  • 274732
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  • RIV/68407700:21220/10:00170480
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  • Non Linear Dynamic Systems; Higher Order Non-linear Neural Units; Complex Time Series; Deterministic Chaos; Correlation Dimension; Recurrence Plot; Adaptation Plot (en)
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  • [DD4AD7DB1D0C]
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  • Praha
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  • Praha
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  • 4th IMECO International Symposium on Measurement, Analysis and Modelling of Human Functions - ISHF 10
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  • Bíla, Jiří
  • Bukovský, Ivo
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number of pages
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  • České vysoké učení technické v Praze. Fakulta strojní
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  • 978-1-61738-984-9
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  • 21220
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