Design, train, and test Sugeno-type fuzzy inference systems
The Neuro-Fuzzy Designer app lets you design, train, and test adaptive neuro-fuzzy inference systems (ANFIS) using input/output training data.
Using this app, you can:
Tune membership function parameters of Sugeno-type fuzzy inference systems.
Automatically generate an initial inference system structure based on your training data.
Modify the inference system structure before tuning.
Prevent overfitting to the training data using additional checking data.
Test the generalization ability of your tuned system using testing data.
Export your tuned fuzzy inference system to the MATLAB® workspace.
You can use the Neuro-Fuzzy Designer to train a type-1 Sugeno-type fuzzy inference system that:
Has a single output.
Uses weighted average defuzzification.
Has output membership functions all of the same type, for example
Has complete rule coverage with no rule sharing; that is, the number of rules must match the number of output membership functions, and every rule must have a different consequent.
Has unity weight for each rule.
Does not use custom membership functions.
Open the Neuro-Fuzzy Designer App
MATLAB Toolstrip: On the Apps tab, under Control System Design and Analysis, click the app icon.
MATLAB command prompt: Enter
neuroFuzzyDesigner opens the Neuro-Fuzzy
neuroFuzzyDesigner( opens the app and loads the
fuzzy inference system
fis can be any
sugfis object in the MATLAB workspace.
You can create an initial Sugeno-type fuzzy inference system
from training data using the
neuroFuzzyDesigner( opens the app and loads
a fuzzy inference system.
fileName is the name of a FIS file
*.fis) on the MATLAB path.
To save a fuzzy inference system to a FIS file:
In the Fuzzy Logic Designer, select File > Export > To File
At the command line, use
Version HistoryIntroduced in R2014b
R2019b: Support for fuzzy inference system structures will be removed
Support for representing fuzzy inference systems as structures will be removed in
a future release. Use
objects with this function instead. To convert existing fuzzy inference system
structures to objects, use the
This change was announced in R2018b. Using fuzzy inference system structures with this app issues a warning starting in R2019b.
R2014b: Command to open app renamed to
Previously, the command to open the app was