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  • 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.
  • 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. (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)
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  • 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/68407700:21220/11:00185706!RIV12-TA0-21220___
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  • P(TA01020698)
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  • 215845
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  • RIV/68407700:21220/11:00185706
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  • Time series, deterministic chaos, complex systems, correlation dimension, Lyapunov exponents, adaptive plot (en)
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  • [4F39FA6B6C39]
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  • Bíla, Jiří
  • Bukovský, Ivo
http://localhost/t...ganizacniJednotka
  • 21220
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