Biologic Dynamic Processes Modeling Based on Chaotic Fuzzy Systems

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概要

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• The problems of fuzzy and qualitative modeling and prediction of dynamic (chaotic) biologic processes are discussed and contrasted. The use of fuzzy logic systems as nonlinear models and predictors is addressed. Sugeno-type fuzzy systems are focussed. The models are based on single-input, single-output fuzzy systems with linear feedback loops. Such systems were previously proved to have a chaotic behavior under certain conditions. Prediction is applied to the logistic growth process. The training of the fuzzy system loop is performed by genetic algorithms. Issues related to the coplexity of the predictors and of the generated time series are also discussed.

• バイオメディカル・ファジィ・システム学会の論文

著者

• Teodorescu Horia-nicolai

  University Of South Florida Computer Science And Engineering(csee)

• Kandel A

  Univ. South Florida Tampa Usa

• Teodorescu H‐n

  Technical Univ. Iasi Iasi Rom

• Kandel Abraham

  University of South Florida, Department of Computer Science and Engineering

• Brezulianu Adrian

  Technical University of Iasi, Dept. of Electronics

• Kandel Abraham

  University Of South Florida

• Brezulianu Adrian

  Technical University Of Iasi Dept. Of Electronics

関連論文

• Modeling natural sensitivity : ALife sensitive, selective sensors
• Biologic Dynamic Processes Modeling Based on Chaotic Fuzzy Systems
• On Teaching Fuzzy Systems to Students in Medical Science and BME
• Nonlinear Analysis of Tremor and Applications

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