ECEN 4120 (3). Neural Network Design.
Introduces basic (artificial) neural network
architectures and learning rules. Emphasis is placed on mathematical
analysis of these networks, on methods of training them, and on their
application to practical problems in areas such as pattern recognition,
signal processing, and control systems. The course shows how to
construct a network of "neurons" and train them to serve a useful
(Meets with ECEN 5120.)
|Credits and Design||3 credit hours. Elective course.|
ECEN 1030, C Programming for EE/ECE, or
CSCI 1300, Intro to Programming|
APPM 2360, Linear Algebra and Differential Equations (or MATH 3130)
|Textbook||Hagan, Demuth, and Beale, Neural Network Design, PWS Publishing, 1996.|
|Course Objectives||Neural networks are good at fitting non-linear functions and recognizing patterns. Consequently they have wide application in the aerospace, automotive, banking, defense, electronics, entertainment, financial, insurance, manufacturing, oil and gas, robotics, telecommunications and transportation industries.|
Last revised: 08-02-11, PM, ARP.