A neural network** **can approximate a wide range of predictive models with minimal demands on model structure and assumption. The form of the relationships is determined during the learning process. If a linear relationship between the target and predictors is appropriate, the results of the neural network should closely approximate those of a traditional linear model. If a nonlinear relationship is more appropriate, the neural network will usually automatically approximate the “correct” model structure.
- For more information about this node, see Neural Net Overview.
- For more information about the visualizations for this node, see Neural Net Visualizations.
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