Research on the Housing Construction Stability Prediction Algorithm based on Deep Neural Network (DNN) Model

In this paper, we conduct research on housing construction stability prediction algorithm based on the deep neural network model. In structure design of the overall and local stability must be considered at the same time, the support structure is a problem that must be considered in the design of the structure, because it is an important measure to avoid structure of instability and most of the structure is designed according to plane system, from the structure of the overall layout to solve. To deal with the issue, we propose the novel stability prediction algorithm with the mathematical model and the neural network algorithm. The verification part demonstrates the feasibility and the effective features of the methodology which serves as the foundation for further research.