Matches in SemOpenAlex for { <https://semopenalex.org/work/W3006925287> ?p ?o ?g. }
Showing items 1 to 100 of
100
with 100 items per page.
- W3006925287 endingPage "120648" @default.
- W3006925287 startingPage "120648" @default.
- W3006925287 abstract "Abstract Accurately estimating the development cost of general aviation aircraft plays a key role in devising the best strategy for corporates. However, studies on cost estimation for general aviation aircraft are limited. Development cost data of general aviation aircraft are commonly multi-collinear and the sample size is small, which may cause the estimation performance of the developed model to be poor. To address this issue, a combination of the variable importance in projection (VIP) analysis method and regression models is proposed. The VIP analysis method, applied to strong correlation data and small sample size, is utilized to select the most influential independent variables. The combined regression models tested using the selected variables include a partial least-squares regression (PLS) model and a back-propagation neural network (BPN) model. The PLS and BPN model are established respectively by utilizing the unfiltered raw variables for comparison. To verify the accuracy and feasibility of the proposed method, a case study utilizing general aviation aircraft cost data is presented. The results suggest that the VIP analysis method could be utilized for variable selection, and the proposed PLS model combined with VIP analysis has better prediction accuracy than that of the pure regression models and the combined BPN model, with MSE , MMRE , and R 2 values of 1.07, 4.1% and 98.32%, respectively. Therefore, the VIP analysis method combined with the regression model can be effectively used to estimate the preliminary cost of general aviation aircraft. More importantly, this work provides a feasible method to improve the accuracy of cost estimation for general aviation aircraft." @default.
- W3006925287 created "2020-03-06" @default.
- W3006925287 creator A5038669556 @default.
- W3006925287 creator A5048488969 @default.
- W3006925287 creator A5061836008 @default.
- W3006925287 date "2020-05-01" @default.
- W3006925287 modified "2023-09-30" @default.
- W3006925287 title "Cost estimation for general aviation aircrafts using regression models and variable importance in projection analysis" @default.
- W3006925287 cites W1994350604 @default.
- W3006925287 cites W2016113598 @default.
- W3006925287 cites W2023864852 @default.
- W3006925287 cites W2026484890 @default.
- W3006925287 cites W2030492706 @default.
- W3006925287 cites W2035128633 @default.
- W3006925287 cites W2098722265 @default.
- W3006925287 cites W2620056059 @default.
- W3006925287 cites W2793020874 @default.
- W3006925287 cites W2796710598 @default.
- W3006925287 cites W2916369009 @default.
- W3006925287 cites W2926796200 @default.
- W3006925287 cites W2946217626 @default.
- W3006925287 cites W2951660644 @default.
- W3006925287 cites W2952571223 @default.
- W3006925287 cites W2953707972 @default.
- W3006925287 cites W2969779475 @default.
- W3006925287 doi "https://doi.org/10.1016/j.jclepro.2020.120648" @default.
- W3006925287 hasPublicationYear "2020" @default.
- W3006925287 type Work @default.
- W3006925287 sameAs 3006925287 @default.
- W3006925287 citedByCount "13" @default.
- W3006925287 countsByYear W30069252872020 @default.
- W3006925287 countsByYear W30069252872021 @default.
- W3006925287 countsByYear W30069252872022 @default.
- W3006925287 countsByYear W30069252872023 @default.
- W3006925287 crossrefType "journal-article" @default.
- W3006925287 hasAuthorship W3006925287A5038669556 @default.
- W3006925287 hasAuthorship W3006925287A5048488969 @default.
- W3006925287 hasAuthorship W3006925287A5061836008 @default.
- W3006925287 hasConcept C105795698 @default.
- W3006925287 hasConcept C11413529 @default.
- W3006925287 hasConcept C119857082 @default.
- W3006925287 hasConcept C127413603 @default.
- W3006925287 hasConcept C134306372 @default.
- W3006925287 hasConcept C146978453 @default.
- W3006925287 hasConcept C149782125 @default.
- W3006925287 hasConcept C152877465 @default.
- W3006925287 hasConcept C171146098 @default.
- W3006925287 hasConcept C178802073 @default.
- W3006925287 hasConcept C182365436 @default.
- W3006925287 hasConcept C201995342 @default.
- W3006925287 hasConcept C2986287813 @default.
- W3006925287 hasConcept C33923547 @default.
- W3006925287 hasConcept C41008148 @default.
- W3006925287 hasConcept C42475967 @default.
- W3006925287 hasConcept C57493831 @default.
- W3006925287 hasConcept C74448152 @default.
- W3006925287 hasConcept C83546350 @default.
- W3006925287 hasConcept C96250715 @default.
- W3006925287 hasConceptScore W3006925287C105795698 @default.
- W3006925287 hasConceptScore W3006925287C11413529 @default.
- W3006925287 hasConceptScore W3006925287C119857082 @default.
- W3006925287 hasConceptScore W3006925287C127413603 @default.
- W3006925287 hasConceptScore W3006925287C134306372 @default.
- W3006925287 hasConceptScore W3006925287C146978453 @default.
- W3006925287 hasConceptScore W3006925287C149782125 @default.
- W3006925287 hasConceptScore W3006925287C152877465 @default.
- W3006925287 hasConceptScore W3006925287C171146098 @default.
- W3006925287 hasConceptScore W3006925287C178802073 @default.
- W3006925287 hasConceptScore W3006925287C182365436 @default.
- W3006925287 hasConceptScore W3006925287C201995342 @default.
- W3006925287 hasConceptScore W3006925287C2986287813 @default.
- W3006925287 hasConceptScore W3006925287C33923547 @default.
- W3006925287 hasConceptScore W3006925287C41008148 @default.
- W3006925287 hasConceptScore W3006925287C42475967 @default.
- W3006925287 hasConceptScore W3006925287C57493831 @default.
- W3006925287 hasConceptScore W3006925287C74448152 @default.
- W3006925287 hasConceptScore W3006925287C83546350 @default.
- W3006925287 hasConceptScore W3006925287C96250715 @default.
- W3006925287 hasFunder F4320321125 @default.
- W3006925287 hasFunder F4320335768 @default.
- W3006925287 hasLocation W30069252871 @default.
- W3006925287 hasOpenAccess W3006925287 @default.
- W3006925287 hasPrimaryLocation W30069252871 @default.
- W3006925287 hasRelatedWork W128246382 @default.
- W3006925287 hasRelatedWork W1583280211 @default.
- W3006925287 hasRelatedWork W2019917835 @default.
- W3006925287 hasRelatedWork W2063504422 @default.
- W3006925287 hasRelatedWork W2340582151 @default.
- W3006925287 hasRelatedWork W254824989 @default.
- W3006925287 hasRelatedWork W2979424465 @default.
- W3006925287 hasRelatedWork W3030339745 @default.
- W3006925287 hasRelatedWork W3151488828 @default.
- W3006925287 hasRelatedWork W4232873079 @default.
- W3006925287 hasVolume "256" @default.
- W3006925287 isParatext "false" @default.
- W3006925287 isRetracted "false" @default.
- W3006925287 magId "3006925287" @default.
- W3006925287 workType "article" @default.