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Estimating the cost of steel pipe bending, a comparison between neural networks and regression analysis

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  • Shtub, Avraham
  • Versano, Ronen

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  • Shtub, Avraham & Versano, Ronen, 1999. "Estimating the cost of steel pipe bending, a comparison between neural networks and regression analysis," International Journal of Production Economics, Elsevier, vol. 62(3), pages 201-207, September.
    • Handle: RePEc:eee:proeco:v:62:y:1999:i:3:p:201-207
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    References listed on IDEAS

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    1. Shtub, Avraham & Zimerman, Yoav, 1993. "A neural-network-based approach for estimating the cost of assembly systems," International Journal of Production Economics, Elsevier, vol. 32(2), pages 189-207, September.
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    Cited by:

    1. Yochanan Shachmurove & Doris Witkowska, "undated". "Utilizing Artificial Neural Network Model to Predict Stock Markets," Penn CARESS Working Papers cae679cdc2e020f74d692ae73, Penn Economics Department.
    2. C.G. Hart & Z. He & R. Sbragio & N. Vlahopoulos, 2012. "An advanced cost estimation methodology for engineering systems," Systems Engineering, John Wiley & Sons, vol. 15(1), pages 28-40, March.
    3. Schikora, Paul F. & Godfrey, Michael R., 2003. "Efficacy of end-user neural network and data mining software for predicting complex system performance," International Journal of Production Economics, Elsevier, vol. 84(3), pages 231-253, June.
    4. Kinyua, Johnson D. & Mutigwe, Charles & Cushing, Daniel J. & Poggi, Michael, 2021. "An analysis of the impact of President Trump’s tweets on the DJIA and S&P 500 using machine learning and sentiment analysis," Journal of Behavioral and Experimental Finance, Elsevier, vol. 29(C).
    5. Caputo, Antonio C. & Pelagagge, Pacifico M., 2008. "Parametric and neural methods for cost estimation of process vessels," International Journal of Production Economics, Elsevier, vol. 112(2), pages 934-954, April.
    6. Eklin, Mark & Arzi, Yohanan & Shtub, Avraham, 2009. "Model for cost estimation in a finite-capacity stochastic environment based on shop floor optimization combined with simulation," European Journal of Operational Research, Elsevier, vol. 194(1), pages 294-306, April.
    7. Quintana, Guillem & Ciurana, Joaquim, 2011. "Cost estimation support tool for vertical high speed machines based on product characteristics and productivity requirements," International Journal of Production Economics, Elsevier, vol. 134(1), pages 188-195, November.
    8. Wang, Qing, 2007. "Artificial neural networks as cost engineering methods in a collaborative manufacturing environment," International Journal of Production Economics, Elsevier, vol. 109(1-2), pages 53-64, September.
    9. 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, Elsevier, vol. 111(2), pages 484-492, February.
    10. Ciurana, J. & Quintana, G. & Garcia-Romeu, M.L., 2008. "Estimating the cost of vertical high-speed machining centres, a comparison between multiple regression analysis and the neural networks approach," International Journal of Production Economics, Elsevier, vol. 115(1), pages 171-178, September.

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