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Showing 1 to 2 of 2 for “"RTRL"”.
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Gauss-newton Based Learning For Fully Recurrent Neural Networks
… FRNNs, the Real Time Recurrent Learning (RTRL) algorithm, employs the gradient descent technique for finding the optimum weight vectors in the recurrent neural network. Within the framework of the research presented, a new off-line and on-line variation of RTRL is presented, that is based …
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Artificial neural networks for state estimation of electric power systems
… it is based on the Real Time Recurrent Learning (RTRL) technique (used in training dynamic ANN), where the ANN SE structure and parameters are determined through learning from available input/output (measurements/state variables) data. In continuation of the thesis feasible ANN SE methods are …