ART Neural Networks:
Theory and Applications
The students in this class
will be exposed to the important theory of ART Neural Networks. In
particular, important ART neural network architectures, associated ART
learning algorithms, ART learning properties and successful ART
applications will be emphasized. The detailed exposition of the ART theory
and applications are included in the word document provided. Prior to the
elaboration on ART neural networks an introduction to the theory of neural
networks (definition, capabilities, types of learning, types of problems
that the neural networks solve, important network architectures, etc.)
will be provided. The introduction to the neural networks is combined in the two
pdf documents that are included. The ART neural network theory is included
in the word document provided below.
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pdf document1| |
pdf document2| |word
document|
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