eT2QFNN

Version 1.0.0 (4.1 MB) by Andri Ashfahani
This branch presents an evolving model, namely eT2QFNN which features an interval type-2 quantum fuzzy set with uncertain jump positions.
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Updated 20 Oct 2018
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This is the code of evolving fuzzy neural network, namely evolving Type-2 Quantum Fuzzy Neural Network (eT2QFNN), which features an interval type-2 quantum fuzzy set with uncertain jump positions. The quantum fuzzy set possesses a graded membership degree which enables better identification of overlaps between classes. The eT2QFNN works fully in the online mode where all parameters including the number of rules are automatically adjusted and generated on the fly. The parameter adjustment scenario relies on decoupled extended Kalman filter method.

Cite As

Andri Ashfahani (2024). eT2QFNN (https://github.com/andriash001/eT2QFNN), GitHub. Retrieved .

Ashfahani, Andri, et al. An Online RFID Localization in the Manufacturing Shopfloor. Unpublished, 2018, doi:10.13140/rg.2.2.27120.76803.

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MATLAB Release Compatibility
Created with R2017b
Compatible with any release
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Version Published Release Notes
1.0.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.