Matches in SemOpenAlex for { <https://semopenalex.org/work/W3123024162> ?p ?o ?g. }
Showing items 1 to 67 of
67
with 100 items per page.
- W3123024162 abstract "A soft measurement model of least squares support vector machine based on data preprocessing for sparse principal component analysis(SPCA-LSSVM) is proposed to solve the problem that the gasoline dry point on the top of atmospheric pressure tower is difficult to measure online. This method combined sparse principal component analysis (SPCA) with the least squares support vector machine (LSSVM) method, principal component analysis (PCA) is transformed to solve the regression optimization problem with quadratic penalty by introducing the sparse constraint aiming at variable selection, in this way, the dimensions of the sparse eigenvector reduces dependency and becomes more independent, it also reduces the influence of measurement noise. The data sample processed by SPCA is used as the input of LSSVM model to establish the soft measurement model of dry point at atmospheric pressure tower top, the problem of lack of sparsity in LSSVM is solved. The simulation results showes that the SPCA-LSSVM model has higher prediction accuracy than the traditional LSSVM model, and the PCA-LSSVM model, reducing the complexity of the model, showing the superiority of the soft-sensing model." @default.
- W3123024162 created "2021-02-01" @default.
- W3123024162 creator A5082459626 @default.
- W3123024162 creator A5082906788 @default.
- W3123024162 date "2020-12-01" @default.
- W3123024162 modified "2023-10-14" @default.
- W3123024162 title "Application of SPCA-LSSVM model in soft measurement of Gasoline dry point" @default.
- W3123024162 cites W1975900269 @default.
- W3123024162 cites W2020925091 @default.
- W3123024162 cites W2084136177 @default.
- W3123024162 cites W2110771015 @default.
- W3123024162 cites W2163046202 @default.
- W3123024162 doi "https://doi.org/10.1109/iscid51228.2020.00051" @default.
- W3123024162 hasPublicationYear "2020" @default.
- W3123024162 type Work @default.
- W3123024162 sameAs 3123024162 @default.
- W3123024162 citedByCount "0" @default.
- W3123024162 crossrefType "proceedings-article" @default.
- W3123024162 hasAuthorship W3123024162A5082459626 @default.
- W3123024162 hasAuthorship W3123024162A5082906788 @default.
- W3123024162 hasConcept C10551718 @default.
- W3123024162 hasConcept C111919701 @default.
- W3123024162 hasConcept C11413529 @default.
- W3123024162 hasConcept C115575686 @default.
- W3123024162 hasConcept C12267149 @default.
- W3123024162 hasConcept C124101348 @default.
- W3123024162 hasConcept C145828037 @default.
- W3123024162 hasConcept C153180895 @default.
- W3123024162 hasConcept C154945302 @default.
- W3123024162 hasConcept C24252448 @default.
- W3123024162 hasConcept C27438332 @default.
- W3123024162 hasConcept C33923547 @default.
- W3123024162 hasConcept C34736171 @default.
- W3123024162 hasConcept C41008148 @default.
- W3123024162 hasConcept C98045186 @default.
- W3123024162 hasConceptScore W3123024162C10551718 @default.
- W3123024162 hasConceptScore W3123024162C111919701 @default.
- W3123024162 hasConceptScore W3123024162C11413529 @default.
- W3123024162 hasConceptScore W3123024162C115575686 @default.
- W3123024162 hasConceptScore W3123024162C12267149 @default.
- W3123024162 hasConceptScore W3123024162C124101348 @default.
- W3123024162 hasConceptScore W3123024162C145828037 @default.
- W3123024162 hasConceptScore W3123024162C153180895 @default.
- W3123024162 hasConceptScore W3123024162C154945302 @default.
- W3123024162 hasConceptScore W3123024162C24252448 @default.
- W3123024162 hasConceptScore W3123024162C27438332 @default.
- W3123024162 hasConceptScore W3123024162C33923547 @default.
- W3123024162 hasConceptScore W3123024162C34736171 @default.
- W3123024162 hasConceptScore W3123024162C41008148 @default.
- W3123024162 hasConceptScore W3123024162C98045186 @default.
- W3123024162 hasLocation W31230241621 @default.
- W3123024162 hasOpenAccess W3123024162 @default.
- W3123024162 hasPrimaryLocation W31230241621 @default.
- W3123024162 hasRelatedWork W10143644 @default.
- W3123024162 hasRelatedWork W11490478 @default.
- W3123024162 hasRelatedWork W1368183 @default.
- W3123024162 hasRelatedWork W43565 @default.
- W3123024162 hasRelatedWork W4947539 @default.
- W3123024162 hasRelatedWork W6229082 @default.
- W3123024162 hasRelatedWork W7626849 @default.
- W3123024162 hasRelatedWork W8220366 @default.
- W3123024162 hasRelatedWork W9652968 @default.
- W3123024162 hasRelatedWork W5443255 @default.
- W3123024162 isParatext "false" @default.
- W3123024162 isRetracted "false" @default.
- W3123024162 magId "3123024162" @default.
- W3123024162 workType "article" @default.