A neural network has nodes which are arranged in patterns that represent intelligence of a given network. This network assists in recognition of patterns just as humans are able to recognize one thing from any given set of things (Boden, 2000). The working of neural networks is like that of neurons in human brains which classify various patterns and can be said to be simplified form of human brains.
The arrangement of the neurons is in layers which depend on how complex an application is; the more complex it is, the larger the number of layers (Knight,1991). The propagation of codes from a neuron layer to another enables the network to learn through experience. This could be termed as training which enables a fully trained network to recognize and classify patterns of large quantities of complex data with a super speed (Knight, 1991).
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