Adaptive Neuro-Fuzzy Inference Systems (ANFIS) Library for Simulink

Version 1.30 (759 KB) by Ilias Konsoulas
This Simulink library contains six ANFIS/CANFIS system variations.
4.7
(33)
12.6K Downloads
Updated 1 May 2015

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This library is for those who want to use the ANFIS/CANFIS system in the Simulink environment. Each model is implemented for training and operation in a sample-by-sample, on-line mode. For details see the included release notes. The main reference used to develop all the ANFIS/CANFIS models is:
Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence, Jyh-Shing Roger Jang, Chuen-Tsai Sun, Eiji Mizutani. Prentice Hall, Sept. 1997.

Cite As

Ilias Konsoulas (2024). Adaptive Neuro-Fuzzy Inference Systems (ANFIS) Library for Simulink (https://www.mathworks.com/matlabcentral/fileexchange/36098-adaptive-neuro-fuzzy-inference-systems-anfis-library-for-simulink), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2011b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Gradient Consistency Check/

NFA_Demos/Utilities/

NFA_Programs/anfis_matlab/ART/

NFA_Programs/anfis_matlab/Grid/

NFA_Programs/anfis_matlab/Scatter/

NFA_Programs/canfis_matlab/ART/

NFA_Programs/canfis_matlab/Grid/

NFA_Programs/canfis_matlab/Scatter/

NFA_Demos/ANFIS_Demo/

NFA_Demos/CANFIS_Demo/

NFA_MatLab/

Version Published Release Notes
1.30

Killed some redundant variables and commands in s-function scripts. Added some new comments. Also introduced use of "if any(logical_condition)" loops instead of "if ~isempty(logical_condition) which should be a bit faster.
1.29.0.0

Improved S-function syntax. Also killed a small bug. Updated library should run a bit faster.
1.28.0.0

Fixed a bug in anfisim_scatter.m that prevented run with a single input. All models were tested for single input run successfully.
1.27.0.0

Introduced the method of gradient consistency checking. This assures the correctness of your backprop implementation. I also provided .m scripts that perform gradient checking to all (C)ANFIS functions of this library.
1.26.0.0

In the latest version of the users guide, I have included a new section describing how to make the demos runnable on your computer and briefly outlining what each demo is about.
1.4.0.0

OK, I corrected the name of the library file from NFA.mdl to NFA_matlab.mdl in order to make demos runnable.
1.3.0.0

Minor code changes, better comments and NFA User Guide corrections.
1.1.0.0

I have updated only the following form entries: a)Description, b)Tags c) Acknowledgement of other submissions.
1.0.0.0