Matches in SemOpenAlex for { <https://semopenalex.org/work/W4384158810> ?p ?o ?g. }
Showing items 1 to 92 of
92
with 100 items per page.
- W4384158810 abstract "Predicting the state of the production process in the manufacturing industry is of great significance for improving production efficiency and quality. In recent years, state prediction methods based on deep learning have been widely used in manufacturing. However, traditional forecasting models have issues such as information loss and overfitting. Therefore, this paper proposes a manufacturing state prediction model based on LSTM with attention mechanism. The model can monitor the manufacturing status in the processing process in real time and predict the future manufacturing status. First, we preprocess the sensor data and extract features, and use the LSTM model for training. Then, to improve the prediction accuracy of the model, we introduce an attention mechanism to strengthen the model’s focus on key features. Finally, we tested and validated the model using actual manufacturing data. Experimental results show that our model has high accuracy and robustness in manufacturing state prediction, which can provide strong support for the monitoring and optimization of manufacturing processes." @default.
- W4384158810 created "2023-07-14" @default.
- W4384158810 creator A5052850451 @default.
- W4384158810 creator A5055877626 @default.
- W4384158810 date "2023-05-12" @default.
- W4384158810 modified "2023-09-24" @default.
- W4384158810 title "Manufacturing Status Prediction Model Based on LSTM with Attention Mechanism" @default.
- W4384158810 cites W2079735306 @default.
- W4384158810 cites W2810099537 @default.
- W4384158810 cites W2950380591 @default.
- W4384158810 cites W2979650406 @default.
- W4384158810 cites W4205985256 @default.
- W4384158810 cites W4206477482 @default.
- W4384158810 cites W4281571843 @default.
- W4384158810 cites W4283714674 @default.
- W4384158810 doi "https://doi.org/10.1109/icecai58670.2023.10176930" @default.
- W4384158810 hasPublicationYear "2023" @default.
- W4384158810 type Work @default.
- W4384158810 citedByCount "0" @default.
- W4384158810 crossrefType "proceedings-article" @default.
- W4384158810 hasAuthorship W4384158810A5052850451 @default.
- W4384158810 hasAuthorship W4384158810A5055877626 @default.
- W4384158810 hasConcept C104317684 @default.
- W4384158810 hasConcept C111472728 @default.
- W4384158810 hasConcept C111919701 @default.
- W4384158810 hasConcept C119857082 @default.
- W4384158810 hasConcept C124101348 @default.
- W4384158810 hasConcept C138885662 @default.
- W4384158810 hasConcept C139719470 @default.
- W4384158810 hasConcept C154945302 @default.
- W4384158810 hasConcept C159985019 @default.
- W4384158810 hasConcept C162324750 @default.
- W4384158810 hasConcept C175700187 @default.
- W4384158810 hasConcept C17744445 @default.
- W4384158810 hasConcept C185592680 @default.
- W4384158810 hasConcept C192562407 @default.
- W4384158810 hasConcept C199539241 @default.
- W4384158810 hasConcept C22019652 @default.
- W4384158810 hasConcept C2778348673 @default.
- W4384158810 hasConcept C2987875673 @default.
- W4384158810 hasConcept C41008148 @default.
- W4384158810 hasConcept C45804977 @default.
- W4384158810 hasConcept C50644808 @default.
- W4384158810 hasConcept C55493867 @default.
- W4384158810 hasConcept C63479239 @default.
- W4384158810 hasConcept C67186912 @default.
- W4384158810 hasConcept C77088390 @default.
- W4384158810 hasConcept C89611455 @default.
- W4384158810 hasConcept C98045186 @default.
- W4384158810 hasConceptScore W4384158810C104317684 @default.
- W4384158810 hasConceptScore W4384158810C111472728 @default.
- W4384158810 hasConceptScore W4384158810C111919701 @default.
- W4384158810 hasConceptScore W4384158810C119857082 @default.
- W4384158810 hasConceptScore W4384158810C124101348 @default.
- W4384158810 hasConceptScore W4384158810C138885662 @default.
- W4384158810 hasConceptScore W4384158810C139719470 @default.
- W4384158810 hasConceptScore W4384158810C154945302 @default.
- W4384158810 hasConceptScore W4384158810C159985019 @default.
- W4384158810 hasConceptScore W4384158810C162324750 @default.
- W4384158810 hasConceptScore W4384158810C175700187 @default.
- W4384158810 hasConceptScore W4384158810C17744445 @default.
- W4384158810 hasConceptScore W4384158810C185592680 @default.
- W4384158810 hasConceptScore W4384158810C192562407 @default.
- W4384158810 hasConceptScore W4384158810C199539241 @default.
- W4384158810 hasConceptScore W4384158810C22019652 @default.
- W4384158810 hasConceptScore W4384158810C2778348673 @default.
- W4384158810 hasConceptScore W4384158810C2987875673 @default.
- W4384158810 hasConceptScore W4384158810C41008148 @default.
- W4384158810 hasConceptScore W4384158810C45804977 @default.
- W4384158810 hasConceptScore W4384158810C50644808 @default.
- W4384158810 hasConceptScore W4384158810C55493867 @default.
- W4384158810 hasConceptScore W4384158810C63479239 @default.
- W4384158810 hasConceptScore W4384158810C67186912 @default.
- W4384158810 hasConceptScore W4384158810C77088390 @default.
- W4384158810 hasConceptScore W4384158810C89611455 @default.
- W4384158810 hasConceptScore W4384158810C98045186 @default.
- W4384158810 hasLocation W43841588101 @default.
- W4384158810 hasOpenAccess W4384158810 @default.
- W4384158810 hasPrimaryLocation W43841588101 @default.
- W4384158810 hasRelatedWork W1996541855 @default.
- W4384158810 hasRelatedWork W2940336242 @default.
- W4384158810 hasRelatedWork W2989932438 @default.
- W4384158810 hasRelatedWork W3011996705 @default.
- W4384158810 hasRelatedWork W3099765033 @default.
- W4384158810 hasRelatedWork W3175189414 @default.
- W4384158810 hasRelatedWork W4210794429 @default.
- W4384158810 hasRelatedWork W4224929651 @default.
- W4384158810 hasRelatedWork W4313159793 @default.
- W4384158810 hasRelatedWork W4362499066 @default.
- W4384158810 isParatext "false" @default.
- W4384158810 isRetracted "false" @default.
- W4384158810 workType "article" @default.