CS 464 - Artificial Intelligence: Neural Networks


Reviews the artificial intelligence field followed by an intense treatment of neural net theory and technologies. Examines Hopfield networks, Boltzmann networks, back-propagation algorithms, mathematical convergence criteria, and neural net applications to classical problems such as TSP. Prerequisites: CS 300 and MT 415.

Meeting Times:
Tuesday, Thursday 3:15 - 4:30 PM

Syllabus                                          Handout #1

Class Notes                                    Pre-Exam #1

Project


Email: dsteele@regis.edu
Phone: 303-458-4120
Site Updated: Tuesday, February 17, 2004 04:54 PM -0700