MANE 6240 - Introduction to Neural Networks

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.

When Offered: Upon sufficient demand.

Cross Listed: ISYE 6870; students cannot obtain credit for both this course and ISYE 6870.

Credit Hours: 3