Description: Back Propagation (BP), a multi-layer feedforward neural network trained by the error back propagation algorithm, is one of the most widely used neural network models, which was developed by Rumelhart and McCelland in 1986. BP network can learn and store a large number of input- output mode mapping, without the need to reveal the mathematical relationship between the description of the mathematical equation.
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