This course helps you understand and apply two popular artificial neural network algorithms: multi-layer perceptrons and radial basis functions. Both the theoretical and practical issues of fitting neural networks are covered. Specifically, this course teaches you how to choose an appropriate neural network architecture, how to determine the relevant training method, how to implement neural network models in a distributed computing environment, and how to construct custom neural networks using the NEURAL procedure.

The e-learning format of this course includes Virtual Lab time to practice.

This course can help prepare you for the following certification exam(s): SAS Advanced Predictive Modeling.

**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.
- Implement neural networks in a distributed computing environment.

#### Who should attend

Data analysts and modelers with a strong mathematical background

Before attending this course, you should:

This course addresses SAS Enterprise Miner software.