The research on cost estimate of engineering maintenance based on neural networks

0Citations
Citations of this article
2Readers
Mendeley users who have this article in their library.
Get full text

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. © 2011 Springer-Verlag Berlin Heidelberg.

Cite

CITATION STYLE

APA

Huang, J., Zhang, J., Yang, X., & Huang, J. (2011). The research on cost estimate of engineering maintenance based on neural networks. Advances in Intelligent and Soft Computing, 105, 725–732. https://doi.org/10.1007/978-3-642-23756-0_116

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free