Matches in SemOpenAlex for { <https://semopenalex.org/work/W2754278705> ?p ?o ?g. }
Showing items 1 to 80 of
80
with 100 items per page.
- W2754278705 abstract "Soft sensor has been widely used for estimating product quality or other important process variables when online analyzers are not available. In order to cope with estimation performance deterioration when process variables abruptly change, a new soft sensor modeling method based on auxiliary error neuro-fuzzy model is proposed. The model mean square error (MSE) is used as an evaluating index in traditional data-driven modeling, while only seeks the minimum error function from the vision of a single sample without considering the spatial state of model error data points. To overcome this shortcoming, the auxiliary error model and probability density function (PDF) are combined to adjust the model parameter by controlling auxiliary error PDF shape to track a given target PDF. Furthermore, soft sensor model parameters are determined by means of gradient descent method. The actual operation process data of coal-fired power plant are selected as the modeling data to justify the effectiveness of the proposed method, experimental results show that the prediction accuracy and generalization ability of combining auxiliary error neuro-fuzzy model (AENFM) and PDF-based soft sensor modeling method are superior to other three data-driven methods using MSE criterion. The results indicate that the proposed method can be applied to soft sensor modeling of complex nonlinear system." @default.
- W2754278705 created "2017-09-25" @default.
- W2754278705 creator A5041585387 @default.
- W2754278705 creator A5050570648 @default.
- W2754278705 date "2017-07-01" @default.
- W2754278705 modified "2023-09-28" @default.
- W2754278705 title "Soft sensor modeling based on auxiliary error probability density function shape control" @default.
- W2754278705 cites W1967511636 @default.
- W2754278705 cites W1990384678 @default.
- W2754278705 cites W2000651380 @default.
- W2754278705 cites W2013183179 @default.
- W2754278705 cites W2024611842 @default.
- W2754278705 cites W2052809458 @default.
- W2754278705 cites W2074659576 @default.
- W2754278705 cites W2077496324 @default.
- W2754278705 cites W2085862958 @default.
- W2754278705 cites W2102561914 @default.
- W2754278705 cites W2167533984 @default.
- W2754278705 cites W2262990284 @default.
- W2754278705 cites W2539756354 @default.
- W2754278705 cites W98666743 @default.
- W2754278705 doi "https://doi.org/10.23919/chicc.2017.8027668" @default.
- W2754278705 hasPublicationYear "2017" @default.
- W2754278705 type Work @default.
- W2754278705 sameAs 2754278705 @default.
- W2754278705 citedByCount "0" @default.
- W2754278705 crossrefType "proceedings-article" @default.
- W2754278705 hasAuthorship W2754278705A5041585387 @default.
- W2754278705 hasAuthorship W2754278705A5050570648 @default.
- W2754278705 hasConcept C105795698 @default.
- W2754278705 hasConcept C111919701 @default.
- W2754278705 hasConcept C11413529 @default.
- W2754278705 hasConcept C115575686 @default.
- W2754278705 hasConcept C139945424 @default.
- W2754278705 hasConcept C154945302 @default.
- W2754278705 hasConcept C197055811 @default.
- W2754278705 hasConcept C2775924081 @default.
- W2754278705 hasConcept C33923547 @default.
- W2754278705 hasConcept C41008148 @default.
- W2754278705 hasConcept C47446073 @default.
- W2754278705 hasConcept C98045186 @default.
- W2754278705 hasConceptScore W2754278705C105795698 @default.
- W2754278705 hasConceptScore W2754278705C111919701 @default.
- W2754278705 hasConceptScore W2754278705C11413529 @default.
- W2754278705 hasConceptScore W2754278705C115575686 @default.
- W2754278705 hasConceptScore W2754278705C139945424 @default.
- W2754278705 hasConceptScore W2754278705C154945302 @default.
- W2754278705 hasConceptScore W2754278705C197055811 @default.
- W2754278705 hasConceptScore W2754278705C2775924081 @default.
- W2754278705 hasConceptScore W2754278705C33923547 @default.
- W2754278705 hasConceptScore W2754278705C41008148 @default.
- W2754278705 hasConceptScore W2754278705C47446073 @default.
- W2754278705 hasConceptScore W2754278705C98045186 @default.
- W2754278705 hasLocation W27542787051 @default.
- W2754278705 hasOpenAccess W2754278705 @default.
- W2754278705 hasPrimaryLocation W27542787051 @default.
- W2754278705 hasRelatedWork W1532797004 @default.
- W2754278705 hasRelatedWork W1990125899 @default.
- W2754278705 hasRelatedWork W2005360845 @default.
- W2754278705 hasRelatedWork W2030060731 @default.
- W2754278705 hasRelatedWork W2114412785 @default.
- W2754278705 hasRelatedWork W2351575370 @default.
- W2754278705 hasRelatedWork W2380527543 @default.
- W2754278705 hasRelatedWork W2385016537 @default.
- W2754278705 hasRelatedWork W2903557943 @default.
- W2754278705 hasRelatedWork W2980194699 @default.
- W2754278705 hasRelatedWork W3025515822 @default.
- W2754278705 hasRelatedWork W3112635583 @default.
- W2754278705 hasRelatedWork W766104267 @default.
- W2754278705 hasRelatedWork W2825262324 @default.
- W2754278705 hasRelatedWork W2870118626 @default.
- W2754278705 hasRelatedWork W2962273807 @default.
- W2754278705 hasRelatedWork W2993490132 @default.
- W2754278705 hasRelatedWork W3002690104 @default.
- W2754278705 hasRelatedWork W3017684117 @default.
- W2754278705 hasRelatedWork W3026342381 @default.
- W2754278705 isParatext "false" @default.
- W2754278705 isRetracted "false" @default.
- W2754278705 magId "2754278705" @default.
- W2754278705 workType "article" @default.