Estimation of Industrial Production Costs, Using Regression Analysis, Neural Networks or Hybrid Neural - Regression Method?

Esmaiel Abounoori and Morteza Bagherpour
Additional contact information
Morteza Bagherpour: Department of Socio-economics System Engineering, Mazandaran University of Science & Technology, Babol-Iran

Iranian Economic Review (IER), 2006, vol. 11, issue 2, 17-29

Abstract: Estimation (Forecasting) of industrial production costs is one of the most important factor affecting decisions in the highly competitive markets. Thus, accuracy of the estimation is highly desirable. Hibrid Regression Neural Network is an approach proposed in this paper to obtain better fitness in comparison with Regression Analysis and the Neural Network methods. Comparing the estimated results from Regression Analysis and Neural Networks with the Hybrid Neural-Regression method has indicated the superiority of the latter method.

Keywords: Regression Analysis; Neural Networks; Hybrids Neural–Regression Method; Comparison; Estimation. (search for similar items in EconPapers)
Date: 2006
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
ftp://80.66.179.253/eut/journl/20062-2.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eut:journl:v:11:y:2006:i:2:p:17

Access Statistics for this article

Iranian Economic Review (IER) is currently edited by Dr.Hossien Abbasinejad

More articles in Iranian Economic Review (IER) from Faculty of Economics,University of Tehran.Tehran,Iran Contact information at EDIRC.
Bibliographic data for series maintained by [z.rahimalipour] ().