Addressing the cost evaluation by applying a BPNN prediction model

Shui Hwi Cheng, Kun Lin Hsieh, Lee-Ing Tong

Research output: Contribution to journalArticle

Abstract

As we known, the technique of cost Benefit Analysis (CBA) had been frequently employed to evaluate the project plan for most enterprises until now. However, the organization architecture is seldom been mentioned since performing CBA technique. Hence, the modelling applications will not include all information. Besdies, for most managers, m, if they can early obatin more information about the cost investment, they can make the suitabke decision. In this article, we will employ the artificial neural networks (ANNs) technique to construct a cost evaluation model. An illustrative example is then employed to demonstrate the rationality and the feasibility for the proposed procedure.

Original languageEnglish
Pages (from-to)589-595
Number of pages7
JournalWSEAS Transactions on Systems
Volume6
Issue number3
StatePublished - 1 Mar 2007

Keywords

  • Backpropagation Neural Network (BPNN)
  • Cost prediction model
  • Cost-benefit analysis

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  • Cite this

    Cheng, S. H., Hsieh, K. L., & Tong, L-I. (2007). Addressing the cost evaluation by applying a BPNN prediction model. WSEAS Transactions on Systems, 6(3), 589-595.