DTDR-ALSTM: Extracting dynamic time-delays to reconstruct multivariate data for improving attention-based LSTM industrial time series prediction models

标题
DTDR-ALSTM: Extracting dynamic time-delays to reconstruct multivariate data for improving attention-based LSTM industrial time series prediction models
作者
关键词
Multivariate time series prediction, Dynamic time-delay, Data reconstruction, Attention-based LSTM, Industrial process
出版物
KNOWLEDGE-BASED SYSTEMS
Volume -, Issue -, Pages 106508
出版商
Elsevier BV
发表日期
2020-10-23
DOI
10.1016/j.knosys.2020.106508

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