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What is ANN-Based Cost Estimation for Renovations about?

This paper presents an artificial neural network (ANN) model for predicting renovation costs in Greek building projects, addressing the challenge of accurate cost estimation in the construction sector. The model utilizes initial cost, estimated time, and initial demolition cost as inputs, achieving high performance with minimal error rates. The study emphasizes the potential of ANNs to enhance financial planning and decision-making in building renovations, filling a gap in existing cost estimation tools.

Author

elliot.ydcai

Language

EN