Application of BP Neural Network in Fire Risk Assessment of Comprehensive Shopping Mall

According to the influencing factors of fire occurrence in comprehensive shopping malls, a fire risk assessment index system is established by analytic hierarchy process (AHP) in consideration of flame retardant properties and other parameters. Then data of eight samples were obtained by the fire risk assessment index system and were input to BP neural network for training. Then, the trained BP model is applied to Jijia Shopping Center to evaluate its fire risk.