Industrial time-series modeling via adapted receptive field temporal convolution networks integrating regularly updated multi-region operations based on PCA
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DOI: 10.1016/j.ces.2020.115956
Abstract: Abstract Deep learning methods, especially the RNN based approaches, have been applied to the industrial time-series modeling these years successfully. However, the RNN based methods cannot overcome the enormous amount of iterative calculation. Traditional CNN… read more here.
Keywords: time series; regularly updated; method; series modeling ... See more keywords