Long Short-Term Memory Parameter Optimization Based on Improved Sparrow Search Algorithm for Molten...
Long Short-Term Memory Parameter Optimization Based on Improved Sparrow Search Algorithm for Molten Iron Quality Prediction
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Basel: MDPI AG
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Language
English
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Basel: MDPI AG
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Blast furnace (BF) ironmaking is a key process in iron and steel production. Because BF ironmaking is a dynamic time series process, it is more appropriate to use a recurrent neural network for modeling. The long short-term memory (LSTM) network is commonly used to model time series data. However, its model performance and generalization ability he...
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Long Short-Term Memory Parameter Optimization Based on Improved Sparrow Search Algorithm for Molten Iron Quality Prediction
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TN_cdi_doaj_primary_oai_doaj_org_article_5aed119ca37f4ca09437e9fe276eeb26
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_5aed119ca37f4ca09437e9fe276eeb26
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ISSN
2075-4701
E-ISSN
2075-4701
DOI
10.3390/met14050529
