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Apr 19, 2024
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CSCE 427 - Introduction to Artificial Neural Networks An introduction to basic concepts in the design, analysis, and application for computational neural networks. Mathematical models of biological neurons. Multilayer perceptrons backward error propagation. Hopfield networks and Boltzmann machines. Radial-basis function networks. Kohonen self-organizing feature maps. Adaptive Resonance Theory networks. Prerequisites Prerequisites: CSCE 210, MACT 231 and MACT 240. When Offered Offered Occasionally. (3 cr.)
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