Please use this identifier to cite or link to this item: http://repositorio.inesctec.pt/handle/123456789/6378
Title: Artificial Neural Networks Applied to an Earthwork Construction Database
Authors: Manuel Afonso Parente
Correia,AG
Cortez,P
Issue Date: 2014
Abstract: This paper presents a study based on the application of cascade ANN prediction models to an earthwork construction database. Results show not only a good adjustment to the data, but also the influence of each earthwork construction process on the work rate of the global production line. Furthermore, the obtained results emphasize the importance of optimal resource allocation and management throughout earthwork construction phases. Following this framework, the study concludes with a demonstration of how the developed models can be integrated into a more complex system in order to pursue that purpose.
URI: http://repositorio.inesctec.pt/handle/123456789/6378
http://dx.doi.org/10.3233/978-1-61499-417-6-200
metadata.dc.type: conferenceObject
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Appears in Collections:Non INESC TEC publications - Articles in International Conferences

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