SPSS Neural Networks™ 16.0

Discover Complex Relationships in Your Data

SPSS Neural Networks offers techniques that enable you to explore your data in new ways and, as a result, build more accurate and effective predictive models. SPSS Neural Networks provides a complementary approach to the statistical techniques available in SPSS Base and its modules. From the familiar SPSS interface, you can “mine” your data for hidden relationships, using either the Multilayer Perceptron (MLP) or Radial Basis Function (RBF) procedure. With either of these approaches, the procedure operates on a training set of data and then applies that knowledge to the entire dataset, and to any new data.

Note: Requires the corresponding version of SPSS Base for operation.