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The Analytical Research on Construction Project Cost Estimation Model Which Is Based on Artificial Neural Network

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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 123))

Abstract

The cost of construction projects is more and more complicated, and facing cost reform trend to a certain extent. Construction project’s cost estimation model which is based on artificial neural network, can, to some extent, make the auxiliary construction project cost better estimate. It’s a big help in related engineering bid.This article makes a analytical research on it.Meanwhile it also discusses the model and application process.

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References

  1. Ke, H., Xia, L.: The discussion on index method of construction and installation’s cost. Journal of Tianjin Institute of Technology (2003)

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  2. Yuan, Z.: Artificial neural network and its application. Tsinghua university press, Beijing

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  3. Tang, X., Lu, H.: Project cost estimation based on artificial neural network. Journal of Changsha Communications University (March 1999)

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  4. Chen, Q., Zhai, M.: The research on construction project cost estimation model based on BP neural network. Optimization of Capital Construction (June 2002)

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© 2011 Springer-Verlag Berlin Heidelberg

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Hong, J. (2011). The Analytical Research on Construction Project Cost Estimation Model Which Is Based on Artificial Neural Network. In: Lee, G. (eds) Advances in Automation and Robotics, Vol. 2. Lecture Notes in Electrical Engineering, vol 123. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25646-2_17

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  • DOI: https://doi.org/10.1007/978-3-642-25646-2_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25645-5

  • Online ISBN: 978-3-642-25646-2

  • eBook Packages: EngineeringEngineering (R0)

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