Neural Networks:
Classification and Regression
Neural networks (often called artificial neural networks to
distinguish them from the natural kind found in humans) are a data and
processing structure inspired by natural neural networks. The basic
idea is to connect a collection of simple neurons into a network. Some
of these nodes are identified as input nodes while others are output
nodes. The input data is always numeric, perhaps requiring some
transformation. The numbers are propagated through the nodes of the
network, being modified as they go (multiplied by link weights, and
combined with other numbers at nodes), until they pop out at the
output nodes. As a classification model the variable values are
provided to the input nodes and the ``answer'' pops out at the output
node.
Subsections
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