Genetic-least square support vector machine estimation of slope stability

The genetic algorithm is used to search the parameters of least square support vector machine in order to avoid the blindness of manual searching and improve the generalization of the model. Based on the large amount of measured data of practical slope engineering, a genetic-least square support vector machine estimation model of slope stability is set up; and then it is applied to predict the stability factor of natural slope in Dingjiahe phosphorus mine. The agreement of the theoretical results with the actual situation of natural slope shows that the proposed model is effective and reliable.