Browsing by Author "Frik Meriem"

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    Modeling of a Nonlinear System Using Fuzzy Neural Networks, Application to Concentration Identification in a Chemical Reactor
    (Faculté des sciences et de la technologie université de Bordj Bou Arreridj, 2026-06) Mokris Ichrak; Frik Meriem
    In this work, we study the application of fuzzy neural networks to the identification of uncertain, nonlinear systems. This approach was investigated using two different architectures:  ANFIS (Adaptive Network Fuzzy Inference System), based on the Takagi-Sugeno model.  FLP (Fuzzy Logic Processor), based on the Mamdani model. Each architecture is implemented through two methods: a series-parallel (one step ehead) model and a parallel (long range) model. An example of simulation is used, identification of concentration in a chemical reactor to demonstrate the effectiveness of these new approaches and to validate the results obtained

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