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What is Mapping Rework Causes and Effects Using Artificial Neural Networks about?

The study investigates the causes and effects of rework in construction projects using artificial neural networks (ANN) to analyze data from 112 projects in Hong Kong. It highlights that rework negatively impacts project performance indicators such as cost and time overruns, and contractual claims. The findings suggest that general regression neural networks are more effective for modeling these relationships, potentially aiding in the development of decision support systems to enhance construction project

Author

shunchit cheng

Language

EN