Operation of the software typically involves loading a table of data and applying statistical functions from pull-down menus or (in versions starting from 9.0) from the ribbon bar. The menus then prompt for the variables to be included and the type of analysis required. It is not necessary to type command prompts. Each analysis may include graphical or tabular output and is stored in a separate workbook.
Using the procedures in IBM SPSS Neural Networks, you can develop more accurate and effective predictive models. The result? Deeper insight and better decision making.What is a neural network?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.
Complement traditional statistical techniquesThe procedures in IBM SPSS Neural Networks complement the more traditional statistics in IBM SPSS Statistics Base and its modules. Find new associations in your data with Neural Networks and then confirm their significance with traditional statistical techniques
How can you use IBM SPSS Neural Networks?You can combine Neural Networks with other statistical procedures to gain clearer insight in a number of areas:
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