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Description: Neural network identification of nonlinear model without restrictions, it was recognition system based on the input and output data, by learning to get a description of the relationship between input and output nonlinear mapping. Given an input, you can get an output between input and output without the need to know what kind of mathematical relationship exists. This self-learning features make the neural network to solve complex nonlinear problem has its unique advantages.
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