Labor productivity modeling with neural networks

1996-01-01
Rowings Jr., James E.
Sönmez, Rifat
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Regression analysis has been the common tool used in construction productivity studies, but in recent years, neural networks have been a successful alternative to regression analysis for other problems similar to construction labor productivity modeling. However, the potential capabilities of neural networks for construction labor productivity modeling have not been examined. This paper discusses the development of multivariate productivity models for concrete pouring by regression analysis and neural networks.
Neural networks, Productivity, Case-Based Reasoning, Concrete construction
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=0029698397&origin=inward
https://hdl.handle.net/11511/76198
Department of Civil Engineering, Conference / Seminar

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Citation Formats
J. E. Rowings Jr. and R. Sönmez, “Labor productivity modeling with neural networks,” 1996, Accessed: 00, 2021. [Online]. Available: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=0029698397&origin=inward.
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