Neural Networks - Data Mining for the Masses - page 181

often employ a concept called fuzzy logic , which is an inferential, probability-based
approach to data comparisons allowing us to infer , based on probabilities, the strength of
the relationship between attributes in our data sets. This gives us added flexibility over
some of the other predictive data mining techniques previously shown in this topic.
Having reviewed the data sets' meta data, return to design perspective so that we can
continue with...
MODELING
5) Using the search field on the Operators tab, locate the Neural Net operator and add it to
your training stream. Use Apply Model to apply your neural network to your scoring data
set. Be sure both the mod and lab ports are connected to res ports (Figure 11-4).
Figure 11-4. Generating a neural network model and applying it to our scoring data set.
Run the model again. In results perspective, you will find both a graphical model and our
predictions. At this stage we can begin our…
EVALUATION
Neural networks use what is called a 'hidden layer' to compare all attributes in a data set to all
other attributes. The circles in the neural network graph are nodes, and the lines between nodes