Bidirectional LSTM-RNN-based hybrid deep learning frameworks for univariate time series classification

Time series classification (TSC) has been around for recent decades as a significant research problem for industry practitioners as well as academic researchers. Due to the rapid increase in temporal data in a wide range of disciplines, an incredible amount of algorithms have been proposed. This pap...

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Vydané v:	The Journal of supercomputing Ročník 77; číslo 7; s. 7021 - 7045
Hlavní autori:	Khan, Mehak, Wang, Hongzhi, Riaz, Adnan, Elfatyany, Aya, Karim, Sajida
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.07.2021 Springer Nature B.V
Predmet:	Algorithms Art techniques Classification Compilers Computer Science Deep learning Feature extraction Interpreters Machine learning Processor Architectures Programming Languages Time series Deep learning Attention mechanism Bidirectional long short-term memory recurrent neural network Time series classification Convolutional neural network
ISSN:	0920-8542, 1573-0484
On-line prístup:	Získať plný text
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