2022
DOI: 10.1007/s12555-021-0205-y
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Dynamic Model Identification for Adaptive Polishing System

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Cited by 2 publications
(1 citation statement)
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“…The LSTM model was designed to address the RNN's problem of memory and information storage limitation. LSTM comprises three gates: the input gate, the forget gate, and the output gate [42,43]. The LSTM model can remember long-term information using its memory cells, and regulate this process through a gate mechanism.…”
Section: Question Classification Based On Bilstmmentioning
confidence: 99%
“…The LSTM model was designed to address the RNN's problem of memory and information storage limitation. LSTM comprises three gates: the input gate, the forget gate, and the output gate [42,43]. The LSTM model can remember long-term information using its memory cells, and regulate this process through a gate mechanism.…”
Section: Question Classification Based On Bilstmmentioning
confidence: 99%