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JMP 13 Predictive and Specialized Modeling
book

JMP 13 Predictive and Specialized Modeling

by SAS Institute
September 2016
Intermediate to advanced content levelIntermediate to advanced
366 pages
9h 24m
English
SAS Institute
Content preview from JMP 13 Predictive and Specialized Modeling
Chapter 4 
Neural Networks
Fit Nonlinear Models Using Nodes and Layers
Image shown here 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 4.1 Example of a Neural Network
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Publisher Resources

ISBN: 9781629605883