Neural Network ModelingThere is a new version of this course. Please see Neural Network Modeling. 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. Learn how to
Who should attendData analysts and modelers with a strong mathematical background
Before attending this course, you should
This course addresses SAS Enterprise Miner software.
Introduction to Neural Networks
DMNN41 |
United States |
Classroom and Live Web Schedule
This course is not currently scheduled in the classroom. Contact us to discuss on-site training options for your group.
This course is not currently scheduled in the classroom. Contact us to discuss on-site training options for your group.