Slope stability assessment method based on physical simulation and memory network

The invention relates to a slope stability evaluation method based on physical simulation and a memory network, and the method comprises the steps: carrying out the numerical simulation of the slope stability, simulating the slope hydrological response and stability coefficient under different geological conditions and rainfall conditions through a physical simulation method, and taking the simulated slope hydrological response and stability coefficient as the training data of a machine learning model; a machine learning model is established, and the machine learning model capable of predicting the slope stability coefficient according to the input slope characteristics and the water content distribution condition is established through a deep learning method; and real-time early warning platform establishment: establishing a platform capable of monitoring and early warning the slope stability in real time by utilizing a machine learning model, and taking the platform as a tool for managing and maintaining th