The HPNEURAL Procedure

ARCHITECTURE Statement

ARCHITECTURE architecture-option;

The ARCHITECTURE statement specifies the architecture of the neural network to be trained. You can specify one of the following values for the architecture-option:

LOGISTIC: specifies a multilayer perceptron that has no hidden units (which is equivalent to a logistic regression). If you specify this architecture, the HIDDEN statement is not allowed.
MLP: specifies a multilayer perceptron that has one or more hidden layers. This is the default.
MLP DIRECT: specifies a multilayer perceptron that has one or more hidden layers and has direct connections between each input and each target neuron.

When you use PROC HPNEURAL to train a neural network, the ARCHITECTURE statement is optional. The ARCHITECTURE statement is not allowed when you use PROC HPNEURAL to perform stand-alone scoring.

Last updated: May 25, 2022