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Identification of the non-linear systems using internal recurrent neural networks

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Academic year: 2017

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Figure no.3: u1 – the first input;  u2 – the second input; y1-the subsystem1 output;   y2-the subsystem2 output;
Figure no.5 - The backward error propagation  In the figures above there are represented only the
Figure no.6 The learning datas
Figure no.7  Output of the M.N.N.1and system’s output
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