Matches in SemOpenAlex for { <https://semopenalex.org/work/W3217149725> ?p ?o ?g. }
Showing items 1 to 80 of
80
with 100 items per page.
- W3217149725 endingPage "104461" @default.
- W3217149725 startingPage "104461" @default.
- W3217149725 abstract "The content of free calcium oxide(f-CaO) in cement clinker is an important index affecting the quality of cement clinker. Because f-CaO content in cement clinker cannot be measured directly, it is of great significance to accurately and quickly predict its content. However, it is difficult to establish an accurate prediction model of f-CaO due to the problems of time-varying delay, coupling between variables and uncertainty in the cement calcination production process. To solve these problems, we proposed a Bayesian Optimization Light Gradient Boosting Machine (BO-LightGBM) cement clinker f-CaO prediction model based on time series input window. Firstly, a time series input window containing time-varying delay information is designed according to the production process to form a high-dimensional time series data matrix. Then LightGBM histogram algorithm is used to extract time-varying delay features from high-dimensional time series matrices. Finally, the Bayesian optimization algorithm is used to perform global hyperparametes tuning for the characteristics of LightGBM with multiple hyperparameters. The experimental results show that compared with support vector regression (SVR), back propagation (BP), gradient boosting decision tree (GBDT), eXtreme gradient boosting (XGBoost), and LightGBM, our method BO-LightGBM has better prediction accuracy, robustness and generalization ability." @default.
- W3217149725 created "2021-12-06" @default.
- W3217149725 creator A5028273122 @default.
- W3217149725 creator A5030691366 @default.
- W3217149725 creator A5048123391 @default.
- W3217149725 creator A5057233052 @default.
- W3217149725 creator A5064693137 @default.
- W3217149725 date "2022-01-01" @default.
- W3217149725 modified "2023-10-16" @default.
- W3217149725 title "Prediction of f-CaO content in cement clinker: A novel prediction method based on LightGBM and Bayesian optimization" @default.
- W3217149725 cites W1543916286 @default.
- W3217149725 cites W1995875735 @default.
- W3217149725 cites W2010408198 @default.
- W3217149725 cites W2011691646 @default.
- W3217149725 cites W2058904921 @default.
- W3217149725 cites W2102148524 @default.
- W3217149725 cites W2149772057 @default.
- W3217149725 cites W2154396021 @default.
- W3217149725 cites W2181274799 @default.
- W3217149725 cites W2517577604 @default.
- W3217149725 cites W2796911763 @default.
- W3217149725 cites W2885442465 @default.
- W3217149725 cites W2901828155 @default.
- W3217149725 cites W2922056657 @default.
- W3217149725 cites W2971929219 @default.
- W3217149725 cites W3041535968 @default.
- W3217149725 cites W3128560880 @default.
- W3217149725 cites W3163090330 @default.
- W3217149725 cites W3211764498 @default.
- W3217149725 doi "https://doi.org/10.1016/j.chemolab.2021.104461" @default.
- W3217149725 hasPublicationYear "2022" @default.
- W3217149725 type Work @default.
- W3217149725 sameAs 3217149725 @default.
- W3217149725 citedByCount "24" @default.
- W3217149725 countsByYear W32171497252022 @default.
- W3217149725 countsByYear W32171497252023 @default.
- W3217149725 crossrefType "journal-article" @default.
- W3217149725 hasAuthorship W3217149725A5028273122 @default.
- W3217149725 hasAuthorship W3217149725A5030691366 @default.
- W3217149725 hasAuthorship W3217149725A5048123391 @default.
- W3217149725 hasAuthorship W3217149725A5057233052 @default.
- W3217149725 hasAuthorship W3217149725A5064693137 @default.
- W3217149725 hasConcept C11413529 @default.
- W3217149725 hasConcept C119857082 @default.
- W3217149725 hasConcept C12267149 @default.
- W3217149725 hasConcept C154945302 @default.
- W3217149725 hasConcept C169258074 @default.
- W3217149725 hasConcept C41008148 @default.
- W3217149725 hasConcept C46686674 @default.
- W3217149725 hasConcept C70153297 @default.
- W3217149725 hasConcept C84525736 @default.
- W3217149725 hasConceptScore W3217149725C11413529 @default.
- W3217149725 hasConceptScore W3217149725C119857082 @default.
- W3217149725 hasConceptScore W3217149725C12267149 @default.
- W3217149725 hasConceptScore W3217149725C154945302 @default.
- W3217149725 hasConceptScore W3217149725C169258074 @default.
- W3217149725 hasConceptScore W3217149725C41008148 @default.
- W3217149725 hasConceptScore W3217149725C46686674 @default.
- W3217149725 hasConceptScore W3217149725C70153297 @default.
- W3217149725 hasConceptScore W3217149725C84525736 @default.
- W3217149725 hasLocation W32171497251 @default.
- W3217149725 hasOpenAccess W3217149725 @default.
- W3217149725 hasPrimaryLocation W32171497251 @default.
- W3217149725 hasRelatedWork W1996541855 @default.
- W3217149725 hasRelatedWork W2072242069 @default.
- W3217149725 hasRelatedWork W3100297620 @default.
- W3217149725 hasRelatedWork W3195168932 @default.
- W3217149725 hasRelatedWork W4206556944 @default.
- W3217149725 hasRelatedWork W4212956667 @default.
- W3217149725 hasRelatedWork W4296081764 @default.
- W3217149725 hasRelatedWork W4313488044 @default.
- W3217149725 hasRelatedWork W4320854072 @default.
- W3217149725 hasRelatedWork W4381383350 @default.
- W3217149725 hasVolume "220" @default.
- W3217149725 isParatext "false" @default.
- W3217149725 isRetracted "false" @default.
- W3217149725 magId "3217149725" @default.
- W3217149725 workType "article" @default.