Long short-term memory anomaly detection for multi-sensor equipment monitoring

Methods, systems, and non-transitory computer readable medium are provided for long short-term memory (LSTM) anomaly detection for multi-sensor equipment monitoring. A method includes training a LSTM recurrent neural network (RNN) model for semiconductor processing fault detection. The training incl...

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Bibliographic Details
Main Authors Didari, Sima, Liao, Tianqing, Rajagopal, Harikrishnan
Format Patent
LanguageEnglish
Published 20.08.2024
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