Defect management is recognized as a significant factor for the success of a residential building project. According to the recent increase of high-rise residential building projects, prediction for the occurrence of defects in such buildings is requi...
Defect management is recognized as a significant factor for the success of a residential building project. According to the recent increase of high-rise residential building projects, prediction for the occurrence of defects in such buildings is required to reduce future risks. This paper, therefore, presented an applicable model for predicting the number of occurrence of defects in high-rise complex houses using artificial neural network. The proposed model showed high accuracy in predicting the occurrence of defects.