ECEN-4120 (3) Neural Network Design

Introduces basic (artificial) neural network architectures and learning rules. Emphasizes mathematical analysis of these networks, methods of training them, and application to practical problems such as pattern recognition, signal processing, and control systems. Shows how to construct a network of "Neurons" and train them to serve a useful function. Same as ECEN 5120. Requisites: Requires prerequisite courses of APPM 2360 or MATH 3130 and ECEN 1310 or CSCI 1300 (all minimum grade C-). Restricted to College of Engineering majors only.