Neural Network ModelingThis 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. 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
DMNN5 |
Malaysia |
Please Note: The classroom course is currently not scheduled, please call us on (603) 2725 2288 or email us to register your interest.