ECE 551 - Engineering System Design Using Neural Networks

Institution:

University of Hartford

Subject:

Description:

Fundamentals of neural systems, neural network paradigms, network properties, and learning concepts. Neural architectures, supervised learning, error backpropagation. Unsupervised learning and feature extraction. Engineering-system design applications function approximation, classification, clustering, forecasting, control, optimization, pattern recognition. Hardware implementation of neural nets using nanoscale-integrated circuit technology. Engineering-design case studies from transportation, laser drilling, fingerprint identification, signal processing, and integrated circuit optimization. Lab projects, literaturesearch critical review. Prerequisite: Senior or graduate standing. Laboratory fee.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.hartford.edu

Phone Number:

(860) 768-4100

Regional Accreditation:

New England Association of Schools and Colleges

Calendar System:

Semester

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