ENGRMAE 277 Introduction To Neural Control Systems (2014-2015)

ENGRMAE 277 Introduction To Neural Control Systems

(Not required for any major.)
Catalog Data:

ENGRMAE 277 Introduction To Neural Control Systems (Credit Units: 4) Basic models and learning rules of artificial neural networks: perceptrons, multilayer neural neworks and backpropagation, support vector machines, radial basis functions networks, CMAC networks. Introduction to Regularization and Statistical learning theory. Neural networks in system identification and control. Graduate students only. (Design units: 0)

Required Textbook:
. Edition, , 1969, ISBN-13 978-0470090138.

Recommended Textbook:
None
References:
None
Coordinator:
Athanasios Sideris
Relationship to Student Outcomes
No student outcomes specified.
Course Learning Outcomes. Students will:
Prerequisites by Topic
Lecture Topics:

None.

Class Schedule:

Meets for 3 hours of lecture each week for 10 weeks.

Computer Usage:
Laboratory Projects:
Professional Component
Design Content Description
Approach:
Lectures:
Laboratory Portion:
Grading Criteria:
Estimated ABET Category Content:

Mathematics and Basic Science: 0.0 credit units

Computing: 0.0 credit units

Engineering Topics: 0.0 credit units

Engineering Science: 0.0 credit units

Engineering Design: 0.0 credit units

Prepared:
April 15, 2014
Senate Approved:
May 1, 2013
Approved Effective:
2013 Fall Qtr