Neuro-Fuzzy Designer
(Removed) Design, train, and test Sugeno-type fuzzy inference systems
Neuro-Fuzzy Designer has been removed. To interactively tune a single-output type-1 Sugeno system using the ANFIS method, use Fuzzy Logic Designer instead. For more information, see Removed.
Description
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
linearorconstant.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
Previously, you open Neuro-Fuzzy Designer using one of these methods. Now, these methods open and configure Fuzzy Logic Designer for ANFIS tuning. (since R2026a)
MATLAB Toolstrip: On the Apps tab, under Control System Design and Analysis, click the app icon.
MATLAB command prompt: Enter
neuroFuzzyDesigner.
