A new addition with SPSS 16.0, SPSS Neural Networks offers non-linear data modeling procedures that enable you to discover more complex relationships in your data. Using these procedures, you can develop more accurate and effective predictive models. The result? Deeper insight and better decision-making.
The procedures in SPSS Neural Networks complement the more traditional statistics in SPSS Base and its modules. Find new associations in your data with SPSS Neural Networks and then confirm their significance with traditional statistical techniques.
A computational neural network is a set of non-linear data modeling tools consisting of input and output layers plus one or two hidden layers. The connections between neurons in each layer have associated weights, which are iteratively adjusted by the training algorithm to minimize error and provide accurate predictions.
In an MLP procedure like the one shown here, nodes in the input and output layers are connected to nodes in one or more hidden layers.
Click image to enlarge
You can combine SPSS Neural Networks with other statistical procedures to gain clearer insight in a number of areas:
Availability
SPSS 16.0 will be available in North America by September 30, 2007. You can pre-order new licenses of Neural Networks directly from the Web store. Or you may contact an SPSS Inc. representative at 1.800.543.2185 (North American customers only). To find out the availability of SPSS 16.0 in your area, contact your local office.
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