|CE 359 - Applied Artificial Neural Networks|
Donna M. Rizzo
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.
Pattern recognition/classification/data mining, Statistical modeling
Not specific to any particular application domain
|Frequency: Every other year|
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