DocumentCode :
145261
Title :
Application Possibilities of Artificial Neural Networks in the Construction Industry
Author :
Nemeth, Peter
Author_Institution :
Dept. of Logistics & Forwarding, Szechenyi Istvan Univ., Gyor, Hungary
Volume :
1
fYear :
2014
fDate :
10-13 March 2014
Firstpage :
437
Lastpage :
439
Abstract :
The role of logistics in the construction industry is considered as a key to better performance and customer quality. This paper proposes a method to model the connection between logistics resources dedicated to a construction project and its schedule success using artificial neural networks. Schedule success can be regarded as one of the major element of customer satisfaction. Therefore a tool with the ability of predicting it can be useful in decision support.
Keywords :
construction industry; customer satisfaction; decision support systems; logistics; neural nets; project management; scheduling; artificial neural networks; construction industry; construction project; customer quality; customer satisfaction; decision support system; logistics resources; schedule success; Artificial neural networks; Biological neural networks; Logistics; Memetics; Microorganisms; Neurons; Schedules; construction logistics; decision support; neural networks; schedule success;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Science and Computational Intelligence (CSCI), 2014 International Conference on
Conference_Location :
Las Vegas, NV
Type :
conf
DOI :
10.1109/CSCI.2014.78
Filename :
6822148
Link To Document :
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