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The Research on Cost Estimate of Engineering Maintenance Based on Neural Networks

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Advances in Computer Science, Intelligent System and Environment

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 105))

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Abstract

This paper analyzes the basic idea of neural networks, and proposes the advantage which is the nonlinear reflection ability of artificial neural networks for cost estimate. When nonlinear relation between cost influencing factors and cost is set up, it can be implemented with artificial neural networks. It also studies application of artificial neural networks to structure cost estimate model; A model based on artificial neural networks to determine armored car reliability and maintenance cost correlation is presented and its correctness and validity is verified. Finally some suggestion of the model is further discussed.

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References

  1. Yuan, Z.: Artificial neuron network and application. Publishing house of Tsing-Hua University, Beijing (1999)

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  2. Liu, M., Zhao, B., Yang, J., et al.: The estimationmethod for army equipment basis of GA and BP. System Engineering and Electronic Technology 24(2), 62–65 (2002)

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  3. Ye, Y.: Research on life cycle cost analysis and modeling method for army equipment. Dissertation for the Doctoral Degree of Academy of Armored Forces Engineering (June 2009)

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Author information

Authors and Affiliations

  1. Armored Forces Engineering Institute, Beijing, China, 100072

    Jun Huang, Jilin Zhang, Xueqiang Yang & Jing Huang

Authors
  1. Jun Huang
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  2. Jilin Zhang
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  3. Xueqiang Yang
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  4. Jing Huang
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Editor information

Editors and Affiliations

  1. Wuhan Section Special No.1, International Science & Education Researcher Association, Jiangxia Road of Wuhan, Wuhan, China

    David Jin

  2. Guangzhou Section, International Science & Education Researcher Association, No.144, Jinheng Road Jinbi Garden 85-1102 southern Road of Industry Avenue Haizhu District, Guangzhou, Guang Dong provience, China

    Sally Lin

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© 2011 Springer-Verlag Berlin Heidelberg

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Huang, J., Zhang, J., Yang, X., Huang, J. (2011). The Research on Cost Estimate of Engineering Maintenance Based on Neural Networks. In: Jin, D., Lin, S. (eds) Advances in Computer Science, Intelligent System and Environment. Advances in Intelligent and Soft Computing, vol 105. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23756-0_116

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  • DOI: https://doi.org/10.1007/978-3-642-23756-0_116

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23755-3

  • Online ISBN: 978-3-642-23756-0

  • eBook Packages: EngineeringEngineering (R0)

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