首页|Predicting Colonization Growth of Algae on Mortar Surface with Artificial Neural Network
Predicting Colonization Growth of Algae on Mortar Surface with Artificial Neural Network
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NETL
NSTL
Asce-Amer Soc Civil Engineers
Algal colonization on facade structure is a common phenomenon which significantly deteriorates the service quality of buildings and may even affect the health of residents. Thus, predicting the colonization progress of algae can be helpful to establish appropriate schedules and methods of building maintenance. This research investigates a machine learning solution for estimating algal colonization growth on mortar surfaces that relies on an artificial neural network (ANN). A data set of 539 experimental data samples has been collected to construct the proposed approaches. The cross-validation process reveals that the ANN has achieved an outstanding prediction performance with the correlation of determination (R2)=0.91 and the root-mean square error (RMSE)=5.69.
NETL
NSTL
Asce-Amer Soc Civil Engineers
