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Accurately and rapidly predicting a time series is a hot research issue in the current applied sciences field. Compared to gradient-based methods, the existing extended Kalman filter (EKF)-based recurrent neural network (RNN) improved the convergence rate of training, but its computing for the Jacobian matrix was usually complicated and time-consuming. In this study, considering the structural feature...
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