In most cases an ANN is an adaptive clay that changes its structure based on external or immanent information that flows through the network during the learning phase. Modern neural networks are 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 circumstantial agreed-upon definition among researchers as to what a neural network is, further most would agree that it involves a network of simpl eton touch elements (neurons), which can ex! hibit complex global behavior, resolved by the connections between the processing elements and element parameters. The original inhalant for the proficiency came from examination of the central nervous system and the neurons (and their axons, dendrites and synapses) which found peerless of its most significant information processing elements (see neuroscience). In a neural network model, simple nodes, called variously neurons, neurodes,...If you expect to get off a full essay, order it on our website: OrderEssay.net
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