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What Is Fuzzy Logic?

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anfis and the ANFIS Editor GUI<br />

Usually, the step-size profile is a curve that increases initially, reaches some<br />

maximum, and then decreases for the remainder of the training. You achieve<br />

this ideal step-size profile by adjusting the initial step-size and the increase<br />

and decrease rates (trnOpt(3) - trnOpt(5)). The default values are set up<br />

to cover a wide range of learning tasks. For any specific application, you<br />

may want to modify these step-size options in order to optimize the training.<br />

However, there are no user-specified step-size options for training the adaptive<br />

neuro-fuzzy inference system generated using the ANFIS Editor GUI.<br />

Display Options<br />

Display options apply only to the command-line function anfis.<br />

For the command line anfis, the display options argument, dispOpt, isa<br />

vector of either 1s or 0s that specifies what information to display, (print<br />

in the MATLAB command window), before, during, and after the training<br />

process. A 1 is used to denote print this option, whereasa0denotesdo not<br />

print this option:<br />

• dispOpt(1): display ANFIS information, default = 1<br />

• dispOpt(2): display error (each epoch), default = 1<br />

• dispOpt(3): display step-size (each epoch), default = 1<br />

• dispOpt(4): displayfinal results, default = 1<br />

The default mode displays all available information. If any element of<br />

dispOpt is NaN or missing, the default value is used.<br />

Method<br />

Both the ANFIS Editor GUI and the command line anfis apply either<br />

a backpropagation form of the steepest descent method for membership<br />

function parameter estimation, or a combination of backpropagation and the<br />

least-squares method to estimate membership function parameters. The<br />

choices for this argument are hybrid or backpropagation. Thesemethod<br />

choices are designated in the command line function, anfis, by1and0,<br />

respectively.<br />

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