Neural networks and fuzzy systems, including: neuron structure and dynamics, unsupervised and supervised learning, network models and architectures, concepts of network stability and learning convergence. Architectures and data flow for microelectronic neural processors and systems digital-analog VLSI sensing and microrobotic control; system applications.
SU Credits : 3.000
ECTS Credit : 10.000
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Corequisite :
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