In order to improve the accuracy of slope displacement prediction of water conservancy projects,GA-QPSO algorithm is formed by introducing the crossover and mutation operation of genetic algorithm in the optimization process of QPSO algorithm.GA-QP-SO algorithm is used to optimize the parameter of ELM,and a combined prediction model of slope displacement based on GA-QPSO-ELM is established.The slope displacement monitoring data of actual water conservancy projects are used for simula-tion analysis,and compared with other slope displacement prediction methods.The results show that the average relative error of GA-QPSO-ELM combined model is 1.186%,and the prediction accuracy is higher than other methods,which verifies the correct-ness and superiority of the model.
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