Neural networks for construction cost estimation

On the positive side neural networks demonstrate many features that are coherent with the nature of cost estimation. Major strengths include their ability to self‐organize knowledge from training data, their ability to generate results from incomplete information and their ability to cope with complex relations. These largely resemble the way human estimators develop expertize through experience