A neural
network is a massively parallel distributed processor made up of single
processing units that has a natural propensity for storing experimental
knowledge and making it available for use. It resembles the brain in two
respects:
1.
knowledge is acquired by the network from its environment through a learning
process:
2.
Interneuron connection strengths, known as synaptic weights, are used to store
the acquired knowledge.
Source: Simon Haykin, Neural
networks and learning machine, third edition, Pearson Education, Inc, 2009.
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