Feature spotlights

Nonlinear procedures

Select multilayer perceptron (MLP) or radial basis function (RBF). Both use feedforward architectures—data only moves from input nodes through the hidden layer of nodes to output nodes.

Network visualization

Information about the neural network is displayed visually, including the dependent variables, number of input and output units, number of hidden layers and units and activation functions.

Graphical displays

Choose to display results in tables or graphs. Save optional temporary variables to the active dataset. Export models in XML-file formats to score future data.

Control the process

Specify the dependent variables, which may be scale, categorical or a combination of the two. Adjust each procedure by choosing how to partition the data set, which architecture to use and what computation resources to apply to the analysis.

Combine with other procedures

Confirm neural network results with traditional statistical techniques. Gain clearer insight in a number of areas, including market research, database marketing, financial analysis, operational analysis and health care.

See all Module features in license versions

For the full list of features in this module, click this link to a PDF with all modules and features in the license versions.

Compare different SPSS Statistics packages

This module is part of the SPSS Statistics traditional license packages. SPSS Statistics comes in two deployment options, traditional license or subscription version. To compare all the various SPSS Statistics packages and learn where this module fits in, visit this page. Note: Modules are only compatible with traditional license versions. The Subscription version wraps the same features inside three optional Subscription Add-ons.

Technical details

Software requirements

IBM SPSS Neural Networks requires a valid IBM SPSS Statistics Base license.

  • Prerequisite: IBM SPSS Statistics

Hardware requirements

  • Processor: 2 GHz or faster
  • Display: 1024*768 or higher
  • Memory: 4 GB of RAM required, 8 GB of RAM or more recommended
  • Disk Space: 2 GB or more

Buy now and get started