Neural Network Modeling

This course is not currently scheduled.

Duration: 3.0 days
Course fee:
EPTO units: .
CEUs: 1.8

The course covers the theoretical and practical considerations of choosing an appropriate neural network architecture and fitting the network using SAS Enterprise Miner. This course is designed for users who want to understand and apply neural networks to both linear and nonlinear prediction problems.

Learn how to

construct multilayer perceptron and radial basis function neural networks
choose an appropriate network architecture and training method
avoid overfitting neural networks
perform autoregressive time series analysis using neural networks
interpret neural network models.

Who should attend

Data analysts and modelers with a strong mathematical background

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Prerequisites

Before attending this course, you should

have an understanding of basic statistical concepts, which you can gain from the Statistics I: Introduction to ANOVA, Regression, and Logistic Regression course.
have completed the SAS Programming I: Essentials course or have equivalent knowledge.
be familiar with SAS Enterprise Miner software. You can gain this knowledge from the Predictive Modeling Using SAS Enterprise Miner 5.1 course.
have completed a college-level calculus course.

Course Contents

Supervised Prediction

overview of multivariate function estimation

Network Architecture

constructing multilayer perceptrons
constructing normalized radial basis function networks

Training

statistical theory of error functions
benefits and shortcomings of numerical optimization methods

Model Complexity

strategies for avoiding overfitting
constructing sequential network construction networks
constructing cascade correlation networks
constructing generalized additive neural networks
weight decay and early stopping

Modeling Applications

flexible discriminant analysis
neural networks for time series analysis (nonlinear autoregression)
interpreting neural network models

Software

This course addresses SAS Enterprise Miner.

Course Materials

Students receive a hardcopy of the course notes and, in some courses, can choose to take home a copy of the course data.

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Course fee and EPTO units will differ for on-site training.

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