Using ANN to Predict the Impact of Communication Factors on the Rework Cost in Construction Projects
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- Zhang, Guoqiang & Y. Hu, Michael & Eddy Patuwo, B. & C. Indro, Daniel, 1999. "Artificial neural networks in bankruptcy prediction: General framework and cross-validation analysis," European Journal of Operational Research, Elsevier, vol. 116(1), pages 16-32, July.
- Carlo Iapige De Gaetani & Andrea Macchi & Pasquale Perri, 2020. "Joint Analysis of Cost and Energy Savings for Preliminary Design Alternative Assessment," Sustainability, MDPI, vol. 12(18), pages 1-18, September.
- Ionel-Sorinel Vasilca & Madlena Nen & Oana Chivu & Valentin Radu & Cezar-Petre Simion & Nicolae Marinescu, 2021. "The Management of Environmental Resources in the Construction Sector: An Empirical Model," Energies, MDPI, vol. 14(9), pages 1-19, April.
- Mohamad Monkiz Khasreen & Phillip F. G. Banfill & Gillian F. Menzies, 2009. "Life-Cycle Assessment and the Environmental Impact of Buildings: A Review," Sustainability, MDPI, vol. 1(3), pages 1-28, September.
- Benoit Aubert & Val Hooper & Alexander Schnepel, 2013. "Revisiting the role of communication quality in ERP project success," American Journal of Business, Emerald Group Publishing, vol. 28(1), pages 64-85.
- Hamidreza Khalesi & Amirhossein Balali & Alireza Valipour & Jurgita Antucheviciene & Darius Migilinskas & Viaceslav Zigmund, 2020. "Application of Hybrid SWARA–BIM in Reducing Reworks of Building Construction Projects from the Perspective of Time," Sustainability, MDPI, vol. 12(21), pages 1-20, October.
- Peter Love & Heng Li, 2000. "Quantifying the causes and costs of rework in construction," Construction Management and Economics, Taylor & Francis Journals, vol. 18(4), pages 479-490.
- Benoit Aubert & Val Hooper & Alexander Schnepel, 2013. "Revisiting the role of communication quality in ERP project success," American Journal of Business, Emerald Group Publishing Limited, vol. 28(1), pages 64-85, April.
- Yuting Qi & Queena K. Qian & Frits M. Meijer & Henk J. Visscher, 2019. "Identification of Quality Failures in Building Energy Renovation Projects in Northern China," Sustainability, MDPI, vol. 11(15), pages 1-23, August.
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Keywords
artificial neural networks (ANNs); communication; rework cost; energy and resource consumption; construction projects;All these keywords.
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