Feedforward neural networks are composed of layers of neurons,
in which the output of each layer of neurons are connected to
the input layer of next layer.
Feed-forward Networks have become increasingly popular in feature
recognition and function mapping (approximation) problems in a
wide area of applications.
Because of commonly used learning algorithm this
type of networks are sometimes referred to as back-propagation
or BPN.
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