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