JMP 10 Modeling and Multivariate Methods

Contents 

Overview of Neural Networks

Launch the Neural Platform

The Neural Launch Window

The Model Launch

Model Reports

Training and Validation Measures of Fit

Confusion Statistics

Model Options

Example of a Neural Network

 

Overview of Neural Networks

Think of a neural network as a function of a set of derived inputs, called hidden nodes. The hidden nodes are nonlinear functions of the original inputs. You can specify up to two layers of hidden nodes, with each layer containing as many hidden nodes as you want.

Figure 10.2 shows a two-layer neural network with three X variables and one Y variable. In this example, the first layer has two nodes, and each node is a function of all three nodes in the second layer. The second layer has three ...