This thesis is dedicated to my family - prodip mitra, sampa mitra, peetak mitra, my academic and oiss advisers - professor erin bell, prof tat fu, prof ricardo medina, thuy nyugen, and elizabeth webber, and my friend - harleen dhaliwal.
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Anfis networks allow a better integration with other control design methods.
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Among many fis models, the sugeno blurred model is the most widely practical one for its high interpretability and computational efficiency, and.
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How is ANFIS used in a hybrid learning procedure?
By using a hybrid learning procedure, the proposed ANFIS can construct an input-output mapping based on both human knowledge (in the form of fuzzy if-then rules) and stipulated input-output data pairs.
How is the ANFIS architecture used in simulation?
In the simulation, the ANFIS architecture is employed to model nonlinear functions, identify nonlinear components on-line in a control system, and predict a chaotic time series, all yielding remarkable results. Comparisons with artificial neural networks and earlier work on fuzzy modeling are listed and discussed.
Is the ANFIS a non linear or non-linear model?
The Adaptive-network-based fuzzy inference system (ANFIS) is a non-linear adaptive architecture which has certain similitude with the Hammerstein models, is formed by a non-linear block followed for a linear system.
Last Update: Oct 2021
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