IBM SPSS Neural Networks
With IBM® SPSS® Neural Networks software, you can develop more accurate and effective predictive models.
- Mine your data for hidden relationships using the Multilayer Perceptron (MLP) or Radial Basis Function (RBF) procedure.
- Control the process from start to finish by specifying the variables.
- Combine with other statistical procedures or techniques for greater insight.
SPSS Neural Networks Screenshots
Multilayer perceptron procedure (MLP)
The multilayer perceptron procedure produces a predictive model for one or more dependent (target) variables based on values of the predictor variables. In this example, we are building a model to predict churn.
Neural 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.