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Artificial Neural Network

The neural networks that are increasingly being used in computing mimic those found in the nervous systems of vertebrates. The main characteristic of a biological neural network, top, is that each neuron, or nerve cell, receives signals from many other neurons through its branching dendrites. The neuron produces an output signal that depends on the values of all the input signals and passes this output on to many other neurons along a branching fiber called an axon. In an artificial neural network, bottom, input signals, such as signals from a television camera’s image, fall on a layer of input nodes, or computing units. Each of these nodes is linked to several other “hidden’ nodes between the input and output nodes of the network. There may be several layers of hidden nodes, though for simplicity only one is shown here. Each hidden node performs a calculation on the signals reaching it and sends a corresponding output signal to other nodes. The final output is a highly processed version of the input. - source: Encarta

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