Introduction to Neural Networks

ISYE-6870

Neural networks are program and memory at once, useful where traditional techniques fail, i.e., for artificial speech and image recognition. Emphasis on existing and emerging engineering applications. Parallel distributed processing, Hebb’s rule, Hopfield net, back-propagation algorithm, perceptrons, unsupervised learning, Kohenen self-organizing map, genetic algorithms, neocognitron, adaline. Illustrated with computer programs and lectures.

3 credits
Prereqs:
none

Past Term Data

Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
Spring Summer Fall
(Session 1) (Session 2)
2023
2022
2021
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2013
Intro To Neural Networks (3c)
  • Mark J Embrechts
Seats Taken: 6/30
2012
Intro To Neural Networks (3c)
  • Mark J Embrechts
Seats Taken: 3/30
2011
Intro To Neural Networks (3c)
  • Mark J Embrechts
Seats Taken: 7/30
2010
Intro To Neural Networks (3c)
  • Mark J Embrechts
Seats Taken: 11/30
2009
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