Research on Building Adaptive Skin Design Based on Neural Network

With the changing of global climate, the urban residential buildings are connected with renewal and its sustainable goals. The urban residential buildings meet the climatic and environmental requirements of giving full play to the adaptive skin performance. This paper uses the neural network method to study the multi-element collaboration of urban building adaptive skin. Through performance simulation, data verification and predictive analysis and other technologies, this paper proposes a multi-objective optimization method integrating simulation and prediction of urban residential building adaptive skin, and quantitatively analyzes the solar potential of building facades. The research of this paper shows the performance potential of adaptive skin in environmental regulation level and the application value of resource output in reducing residents' living cost level, which has certain guiding significance for urban architecture adaptive skin design.