Neural Networks

Fit Nonlinear Models Using Nodes and Layers

The Neural platform implements a fully connected multi-layer perceptron with one or two layers. Use neural networks to predict one or more response variables using a flexible function of the input variables. Neural networks can be very good predictors when it is not necessary to describe the functional form of the response surface, or to describe the relationship between the inputs and the response.

Figure 3.1 Example of a Neural Network 

Contents

Overview of the Neural Platform

Launch the Neural Platform

The Neural Launch Window

The Model Launch Control Panel

Validation Method

Hidden Layer Structure

Boosting

Fitting Options

Model Reports

Training and Validation Measures of Fit

Confusion Statistics

Model Options

Example of a Neural Network