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Dec 06, 2024
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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: Fall term alternate years.
Cross Listed: Cross-listed as DSES 6870. Students cannot obtain credit for both this course and DSES 6870.
Credit Hours: 3
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