ECE 551 - Engineering System Design Using Neural Networks

3 credit(s)
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, literature-search critical review.
Prerequisite(s): Senior or graduate standing.
Laboratory fee.

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