Evaluation model of seismic toughness of water supply system based on BP neural network algorithm

With the development of urbanization, urban operation is increasingly closely related to people's daily life, and how to avoid the harm of natural disasters to urbanization has become one of the current important topics. This study takes BP neural network as the main research object and combines BP neural network with the seismic toughness evaluation model of water supply system. The combined model is applied to the seismic tolerance evaluation of water supply system to verify its practicability and reliability. The results show that the values of the model evaluation data in the four cities are 0.01–0.05 higher than the actual data, and the trend is consistent. It can be seen that the model has good evaluation effect and strong adaptability.