Publication date: 09/28/2021
Neural Networks
Fit Nonlinear Models Using Nodes and Layers
Most features in this platform are available only in JMP Pro and noted with this icon.
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 Methods for Neural
Hidden Layer Structure
Boosting
Fitting Options
Model Reports
Training and Validation Measures of Fit
Confusion Statistics
Neural Platform Options
Neural Model Options
Example of a Neural Network
Want more information? Have questions? Get answers in the JMP User Community (community.jmp.com).