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Course Description
| CE 359 - Applied Artificial Neural Networks | ||
| Instructor(s): Donna M. Rizzo |
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| Description: A practical hands-on introduction to the theory and implementation of a variety of architectures of artificial neural networks, including back-propagation, hopfield networks, counter-propagation networks, recurrent networks, self-organizing maps, and more. |
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| Prerequisites: Computer programming. |
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| Methodologies: Pattern recognition/classification/data mining, Statistical modeling |
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| Domains: Not specific to any particular application domain |
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| Frequency: Every other year | ||
| Credits: 3 | ||
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