Identification of certain system needs search for class of functions or model forapproximation of the system input-output behavior in the "best" possible way. In most situations, as in dynamic systems identi...
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Identification of certain system needs search for class of functions or model forapproximation of the system input-output behavior in the "best" possible way. In most situations, as in dynamic systems identification, pattern recognition etc., the value of the output of the mode ling system is function of the previous values of outputs and inputs. In the current circumstances almost all efforts for using neural networks for identification and control are based on feed-forward networks. If the system order or the upper limit of the order is known, all the necessary previous values of the inputs and outputs of the mode led system can be put as input in the network. The network can learn non-memory transformations that include thesystem output dependence on specified previous inputs and outputs.
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