An Artificial Neural
Network (ANN) is an information processing paradigm that is inspired by the way
biological nervous systems, such as the brain, process information. The key
element of this paradigm is the novel structure of the information processing
system. It is composed of a large number of highly interconnected processing
elements (neurones) working in unison to solve specific problems. ANNs, like
people, learn by example. An ANN is configured for a specific application, such
as pattern recognition or data classification, through a learning process. Learning in biological systems involves adjustments to the synaptic connections
that exist between the neurones. This is true of ANNs as well.
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