메뉴 건너뛰기




Volumn 37, Issue 12, 2010, Pages 8417-8423

Applying least squares support vector machines to the airframe wing-box structural design cost estimation

Author keywords

Airframe structure; Back propagation neural networks; Cost estimation; Least squares support vector machines; Response surface methodology

Indexed keywords

AIRFRAMES; BACKPROPAGATION; COST BENEFIT ANALYSIS; COSTS; LEAST SQUARES APPROXIMATIONS; NEURAL NETWORKS; STRUCTURAL DESIGN; STRUCTURAL FRAMES; SUPPORT VECTOR MACHINES; SURFACE PROPERTIES;

EID: 77957847865     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2010.05.038     Document Type: Article
Times cited : (46)

References (31)
  • 1
    • 0032486709 scopus 로고    scopus 로고
    • Decision support with neural networks in the management of research and development: Concepts and application to cost estimation
    • Bode, J. (1997). Decision support with neural networks in the management of research and development: Concepts and application to cost estimation. Information and Management, 34, 33-40.
    • (1997) Information and Management , vol.34 , pp. 33-40
    • Bode, J.1
  • 2
    • 0034655066 scopus 로고    scopus 로고
    • Neural networks for cost estimation: Simulations and pilot application
    • Bode, J. (2000). Neural networks for cost estimation: Simulations and pilot application. International Journal of Production Research, 38(6), 1231-1254.
    • (2000) International Journal of Production Research , vol.38 , Issue.6 , pp. 1231-1254
    • Bode, J.1
  • 3
    • 4043075477 scopus 로고    scopus 로고
    • Parametric vs. neural network model for the estimation of production costs: A case study in the automotive industry
    • Cavalieri, S., Maccarrone, P., & Pinto, R. (2004). Parametric vs. neural network model for the estimation of production costs: A case study in the automotive industry. International Journal of Production Economics, 91, 165-177.
    • (2004) International Journal of Production Economics , vol.91 , pp. 165-177
    • Cavalieri, S.1    Maccarrone, P.2    Pinto, R.3
  • 4
    • 33748695973 scopus 로고    scopus 로고
    • Support vector regression with genetic algorithms in forecasting tourism demand
    • Chen, K. Y., & Wang, C. H. (2007). Support vector regression with genetic algorithms in forecasting tourism demand. Tourism Management, 28, 215-226.
    • (2007) Tourism Management , vol.28 , pp. 215-226
    • Chen, K.Y.1    Wang, C.H.2
  • 5
    • 0002231440 scopus 로고
    • Cost estimation of timber bridges using neural network
    • Creese, R. C., & Li, L. (1995). Cost estimation of timber bridges using neural network. Cost Engineering, 37(5), 17-22.
    • (1995) Cost Engineering , vol.37 , Issue.5 , pp. 17-22
    • Creese, R.C.1    Li, L.2
  • 6
    • 0037382208 scopus 로고    scopus 로고
    • Evaluation of simple performance measures for tuning SVM hyperparameters
    • Duan, K., Keerthi, S. S., & Poo, A. N. (2003). Evaluation of simple performance measures for tuning SVM hyperparameters. Neurocomputing, 50, 41-59.
    • (2003) Neurocomputing , vol.50 , pp. 41-59
    • Duan, K.1    Keerthi, S.S.2    Poo, A.N.3
  • 8
    • 0029241605 scopus 로고
    • Neural network versus parameter-based application in cost estimating
    • Garza, J., & Rouhana, K. (1995). Neural network versus parameter-based application in cost estimating. Cost Engineering, 37(2), 14-18.
    • (1995) Cost Engineering , vol.37 , Issue.2 , pp. 14-18
    • Garza, J.1    Rouhana, K.2
  • 11
    • 33846454686 scopus 로고    scopus 로고
    • Predicting corporate financial distress based on integration of support vector machine and logistic regression
    • Hua, Z., Wang, Y., Xu, X., Zhang, B., & Liang, L. (2007). Predicting corporate financial distress based on integration of support vector machine and logistic regression. Expert Systems with Applications, 33, 434-440.
    • (2007) Expert Systems with Applications , vol.33 , pp. 434-440
    • Hua, Z.1    Wang, Y.2    Xu, X.3    Zhang, B.4    Liang, L.5
  • 12
    • 63349112618 scopus 로고    scopus 로고
    • International Society of Parametric Analysis (ISPA), (4th ed.)
    • International Society of Parametric Analysis (ISPA) (2008). Parametric estimating handbook (4th ed.).
    • (2008) Parametric Estimating Handbook
  • 14
    • 0023331258 scopus 로고
    • An introduction to computing with neural nets
    • Lippmann, R. P. (1987). An introduction to computing with neural nets. IEEE ASSP Magazine, 4-22.
    • (1987) IEEE ASSP Magazine , pp. 4-22
    • Lippmann, R.P.1
  • 17
    • 3242891065 scopus 로고    scopus 로고
    • A neural network approach for early cost estimation of structural systems of buildings
    • Murat, H., & Zeynep, S. (2004). A neural network approach for early cost estimation of structural systems of buildings. International Journal of Project Management, 22, 95-602.
    • (2004) International Journal of Project Management , vol.22 , pp. 95-602
    • Murat, H.1    Zeynep, S.2
  • 21
    • 9244259665 scopus 로고    scopus 로고
    • An application of support vector machines in bankruptcy
    • Shin, K. S., Lee, T. S., & Kim, H. J. (2005). An application of support vector machines in bankruptcy. Expert Systems with Applications, 28, 127-135.
    • (2005) Expert Systems with Applications , vol.28 , pp. 127-135
    • Shin, K.S.1    Lee, T.S.2    Kim, H.J.3
  • 25
    • 0001023715 scopus 로고    scopus 로고
    • Application of support vector machines in financial time series forecasting
    • Tay, E. H., & Cao, L. (2001). Application of support vector machines in financial time series forecasting. Omega, 29, 309-317.
    • (2001) Omega , vol.29 , pp. 309-317
    • Tay, E.H.1    Cao, L.2
  • 27
    • 84887252594 scopus 로고    scopus 로고
    • Support vector method for function approximation, regression estimation, and signal processing
    • Vapnik, V., Golowich, S., & Smola, A. (1997). Support vector method for function approximation, regression estimation, and signal processing. Advance in Neural Information Processing System, 9, 281-287.
    • (1997) Advance in Neural Information Processing System , vol.9 , pp. 281-287
    • Vapnik, V.1    Golowich, S.2    Smola, A.3
  • 28
    • 37349129265 scopus 로고    scopus 로고
    • Cost estimation for sheet metal parts using multiple regression and artificial neural networks: A case study
    • Verlinden, B., Duflou, J. R., Collin, P., & Cattrysse, D. (2008). Cost estimation for sheet metal parts using multiple regression and artificial neural networks: A case study. International Journal of Production Economics, 111, 484-492.
    • (2008) International Journal of Production Economics , vol.111 , pp. 484-492
    • Verlinden, B.1    Duflou, J.R.2    Collin, P.3    Cattrysse, D.4
  • 29
    • 34250903611 scopus 로고    scopus 로고
    • Artificial neural networks as cost engineering methods in a collaborative manufacturing environment
    • Wang, Q. (2007). Artificial neural networks as cost engineering methods in a collaborative manufacturing environment. International Journal of Production Economics, 109, 53-64.
    • (2007) International Journal of Production Economics , vol.109 , pp. 53-64
    • Wang, Q.1
  • 30
    • 34247580190 scopus 로고    scopus 로고
    • Support vector regression model predictive control on a HVAC plant
    • Xi, X. C., Poo, A. N., & Chou, S. K. (2007). Support vector regression model predictive control on a HVAC plant. Control Engineering Practice, 15, 897-908.
    • (2007) Control Engineering Practice , vol.15 , pp. 897-908
    • Xi, X.C.1    Poo, A.N.2
  • 31
    • 0032045102 scopus 로고    scopus 로고
    • A neural network approach for early cost estimation of packaging products
    • Zhang, Y. F., & Fuh, J. Y. H. (1998). A neural network approach for early cost estimation of packaging products. Computers and Industrial Engineering, 34(3), 433-450.
    • (1998) Computers and Industrial Engineering , vol.34 , Issue.3 , pp. 433-450
    • Zhang, Y.F.1    Fuh, J.Y.H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.