Construction planning with machine learning
Paper i proceeding, 2019
through technical project risk analysis; the model utilizes both unsupervised machine learning for the understanding and pre-processing of data, and supervised machine learning for the development of the predictive system. Following the above analysis, it is argued that there is a need for human reasoning in construction planning, even more so after the introduction of machine learning. It is not enough to include human aspects in the machine learning modelling; it is also crucial to strengthen qualified reasoning in the decision-making for construction project planning and being responsible in action-taking and accountable in decision-making.
information technology
Arkitektur och samhällsbyggnadsteknik
human reasoning
machine learning
Architecture and Civil Engineering
Construction management
Författare
May Shayboun
Chalmers, Arkitektur och samhällsbyggnadsteknik, Construction Management
Dimosthenis Kifokeris
Chalmers, Arkitektur och samhällsbyggnadsteknik, Construction Management
Christian Koch
Chalmers, Arkitektur och samhällsbyggnadsteknik, Construction Management
Association of Researchers in Construction Management, ARCOM 2019 - Proceedings of the 35th Annual Conference
Vol. 2019 699-708
978-099554634-9 (ISBN)
Leeds, United Kingdom,
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