Nonlinear Modeling

Model nonlinear systems using fuzzy inference

Explore examples that model nonlinear systems using fuzzy inference.

Featured Examples

Generate a fuzzy inference system from data using subtractive clustering.

Tune the rules and membership function parameters for a FIS with type-2 membership functions.

Train a neuro-fuzzy system for time-series prediction using the anfis command.

Perform adaptive nonlinear noise cancellation using the anfis and genfis commands.

Predict fuel consumption for automobiles using an adaptive neuro-fuzzy inference system and previously recorded observations.

You can model nonlinear dynamic system behavior using adaptive neuro-fuzzy systems.

Determine joint angles required to place the tip of a robotic arm in a desired location using a neuro-fuzzy model.