Workspace Node: SANN Regression/Classification/Time Series - Specifications - MLP Activation Functions Tab

In the SANN Regression, SANN Classification, SANN Time Series (Regression), or SANN Time Series (Classification) node dialog box, under the Specifications heading, select the MLP Activation Functions tab to access the following options. This tab is available only if Automated network search (ANS) is selected on the Quick tab.

Note: For RBF neural networks, the hidden activation functions are always set to isotropic Gaussian basis functions. For regression analysis, the only activation available for the outputs units of an RBF are linear functions.

Activation functions.

Element Name Description
Hidden neurons This group box provides a list of hidden activation functions to choose from for inclusion in the Automated Network Search (ANS). Note that you can select more than one activation function at a time:
Identity Uses the identity function. With this function, the activation level is passed on directly as the output of the neurons.
Logistic Uses the logistic sigmoid function. This is an S-shaped (sigmoid) curve, with output in the range (0,1).
Tanh Uses the hyperbolic tangent function (recommended). The hyperbolic tangent function (tanh) is a symmetric S-shaped (sigmoid) function, whose output lies in the range (-1, +1). Often performs better than the logistic sigmoid function because of its symmetry.
Exponential Uses the negative exponential activation function.
Sine Uses the standard sine activation function.
Output neurons This group box provides a list of output activation functions to choose from for inclusion in the Automated Network Search (ANS). Note that you can select more than one activation function at a time:
Identity Uses the identity function (recommended). With this function, the activation level is passed on directly as the output of the neurons. This is the only activation function available for RBF networks when the error function is SOS.
Logistic Uses the logistic sigmoid function. This is an S-shaped (sigmoid) curve, with output in the range (0, 1).
Tanh Uses the hyperbolic tangent function. The hyperbolic tangent function (tanh) is a symmetric S-shaped (sigmoid) function, whose output lies in the range (-1, +1). Often performs better than the logistic sigmoid function because of its symmetry.
Exponential Uses the negative exponential activation function.
Sine Uses the standard sine activation function.

Options / C / W. See Common Options.

OK Click the OK button to accept all the specifications made in the dialog box and to close it. The analysis results will be placed in the Reporting Documents node after running (updating) the project.