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Artificial neural networks (ANN) are pattern detection and classification tools loosely modeled on networks of neurons in human or animal brains. The term neural network is used in contexts such as GIS, where there is unlikely to be any confusion with actual physiological neural networks. This entry outlines the basic concept behind the design of neural networks and reviews aspects of their network structures before considering more practical aspects, such as network training, and issues relevant to their use in typical applications.

Background and Definition

A neural network consists of an interconnected set of artificial neurons. Each neuron has a number of inputs and one output and converts combinations of input signal levels to a defined signal output level. A neuron effectively represents a mathematical function ...

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