Examples (RBF command)

Basic specification with default neural network settings

RBF DepVar BY A B C WITH X Y Z. 

• The RBF procedure treats DepVar as the dependent variable. Predictors A, B, and C are factors, and X, Y, and Z are covariates.
• By default, covariates and the dependent variable (if it has scale measurement level) are standardized before training. Also, the active dataset is partitioned into training and testing data samples, with 70% going to the training data and 30% to the testing data sample.
• Automatic architecture selection is used to find the “best” neural network architecture.
• User-missing values are excluded and default output is displayed.

User-specified neural network with three hidden units

RBF DepVar BY A B C WITH X Y Z
  /ARCHITECTURE
     NUMUNITS=3
     HIDDENFUNCTION=ORBF.

• The RBF procedure treats DepVar as the dependent variable. Predictors A, B, and C are factors, and X, Y, and Z are covariates.
• By default, covariates and the dependent variable (if it has scale measurement level) are standardized before training. Also, the active dataset is partitioned into training and testing data samples, with 70% going to the training data and 30% to the testing data sample.
• The ARCHITECTURE subcommand specifies a neural network with three hidden units, thereby overriding automatic architecture selection. In addition, the hidden layer uses the ordinary radial basis function.