Neural network model incorporating a genetic algorithm in estimating construction costs
This paper applies the back-propagation network (BPN) model incorporating genetic
algorithms (GAs) to cost estimation. GAs were adopted in the BPN to determine the BPN's
parameters and to improve the accuracy of construction cost estimation. Previously, there
have been no appropriate rules to determine these parameters. The construction cost data
for 530 residential buildings constructed in Korea between 1997 and 2000 were used for
training and evaluating the performance of the model. This study showed that a BPN model …
algorithms (GAs) to cost estimation. GAs were adopted in the BPN to determine the BPN's
parameters and to improve the accuracy of construction cost estimation. Previously, there
have been no appropriate rules to determine these parameters. The construction cost data
for 530 residential buildings constructed in Korea between 1997 and 2000 were used for
training and evaluating the performance of the model. This study showed that a BPN model …
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