
A robust quaternion recurrent neural network (QRNN) is developed that combines real-time recurrent learning (RTRL) and the maximum correntropy criterion (MCC) as a loss function, enabling efficient processing and prediction of 3D and 4D data with outliers.


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robust-quaternion-recurrent-neural-network-for-adaptive-prediction-of-multidimensional-respiratory-motion


Robust Quaternion Recurrent Neural Network for Adaptive Prediction of Multidimensional Respiratory Motion
