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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Main Authors | , , |
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Format | Patent |
Language | English |
Published |
20.08.2024
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Subjects | |
Online Access | Get full text |
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