Trần Thu Hiền, Hoàng Nhật Đức, Predicting Colonization Growth of Algae on Mortar Surface with Artificial Neural Network, J. Comput. Civ. Eng., DOI: 10.1061/(ASCE)CP.1943-5487.0000599, 04016030. (2016) (ISI, IF = 1.27)

Ngày: 20/06/2016

Abstract

Algal colonization on façade 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

Permalink: http://dx.doi.org/10.1061/(ASCE)CP.1943-5487.0000599

Author keywords: Algae, Colonization growth, Biodegradation, Artificial neural network, Building