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In most cases an ANN is an adaptive corpse that changes its structure based on external or internal information that flows through the network during the learning phase. Modern neural networks ar non-linear statistical selective information modeling tools. They are usually used to model complicated relationships between inputs and outputs or to find patterns in data. [pic] Background There is no slender agreed-upon definition among researchers as to what a neural network is, that mos t would agree that it involves a network of ! simpleton touch elements (neurons), which can exhibit complex global behavior, resolved by the connections between the processing elements and element parameters. The original inhalant for the technique came from examination of the central nervous system and the neurons (and their axons, dendrites and synapses) which found whiz of its most significant information processing elements (see neuroscience). In a neural network model, simple nodes, called variously neurons, neurodes,...If you expect to pay off a full essay, order it on our website: OrderCustomPaper.com
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