Artificial Neural Network

An artificial neural network 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 (neurons) working in unison to solve specific problems. Ann’s, like people, learn by example. An ANN is configured for a specific application, such as pattern recognition or data classification, through a learning processing. Learning in biological systems involves adjustment to the synaptic connections that exists between the neurons. This is true of Ann’s as well. The first artificial neuron was produced in1943 by the neurophysiologist Warren McCulloch and the logician Walter Pits.