CEGR 636 - Artificial Neural Networks I

Three hours.
3 Credits

This course provides graduate students and engineering professionals with the fundamentals of Artificial Neural Networks. This course covers neural network architectures, algorithms, and applications. A wide variety of standard neural networks and training algorithms are covered in relationship to logic functions and other applications. Emphasis is on computational characteristics to illustrate similarities and differences among neural networks.

Prerequisite(s) None
Co-Requisite(s) None
Offered FALL OR SPRING