In this paper, a distribution-free density forecast model based on deep learning is proposed, in which the real cumulative density functions (CDFs) of forecasting target are approximated by a ...

Experimental auto- and cross-correlation functions and their corresponding spectral density functions (SDFs) are extracted from measured sweep data of mode-stirred fields. These are compared with ...