Modeling of the Time Structure of Construction Processes Using Neural Networks

Petlíková Kateřina () and Jarský Čeněk ()
Additional contact information
Petlíková Kateřina: Department of Construction Technology, Faculty of Civil Engineering, Czech Technical University in Prague, Praha, Czech Republic
Jarský Čeněk: Department of Construction Technology, Faculty of Civil Engineering, Czech Technical University in Prague, Praha, Czech Republic

Organization, Technology and Management in Construction, 2017, vol. 9, issue 1, 1559-1564

Abstract: The aim of this research is to develop a methodology for calculating the standard time using neural networks. The paper presents research questions and proposes a methodology. In addition, the methods used to calculate the standard time in the Czech Republic and in other parts of the world are presented, and the basics of the mathematics of neural networks are shortly explained. The paper also provides an example that represents a simple application of a neural network. This example is designed to confirm some assumptions and to arrive at the basic conclusions regarding the operation of models created using neural networks.

Keywords: construction technology; time scheduling; neural networks (search for similar items in EconPapers)
Date: 2017
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1515/otmcj-2016-0018 (text/html)

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:vrs:otamic:v:9:y:2017:i:1:p:1559-1564:n:4

DOI: 10.1515/otmcj-2016-0018

Access Statistics for this article

Organization, Technology and Management in Construction is currently edited by Mladen Radujković

More articles in Organization, Technology and Management in Construction from Sciendo
Bibliographic data for series maintained by Peter Golla ().