Prediction of Risk Delay in Construction Projects Using a Hybrid Artificial Intelligence Model

Project delays are the major problems tackled by the construction sector owing to the associated complexity and uncertainty in the construction activities. Artificial Intelligence (AI) models have evidenced their capacity to solve dynamic, uncertain and complex tasks. The aim of this current study i...

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Bibliographic Details
Published in:	Sustainability Vol. 12; no. 4; p. 1514
Main Authors:	Yaseen, Zaher Mundher, Ali, Zainab Hasan, Salih, Sinan Q., Al-Ansari, Nadhir
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 2020
Subjects:	Accuracy Artificial intelligence Civil engineering computer aid construction project Contractors Decision trees delay sources Genetic algorithms Geoteknik Labor productivity Literature reviews Neural networks Questionnaires random forest‐genetic algorithm Research methodology risk management Soil Mechanics
ISSN:	2071-1050, 2071-1050
Online Access:	Get full text
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