Abstract: Selecting an appropriate step size is critical in Gradient Descent algorithms used to train Neural Networks for Deep Learning tasks. A small value of the step size leads to slow convergence, ...

Abstract: The long-term prediction of multivariate time series is widely applied in the operation and maintenance fields of rail transit, industrial production, and energy. Recent research has focused ...