论文信息 - Slope stability prediction model based on GA-SVM

Slope stability prediction model based on GA-SVM

This paper puts forward the slope stability prediction model based on GA-SVM. Firstly, we search for the parameters of Support Vector Machine by using the strong optimization function of GA. Then we establish the prediction model by using the SVM's excellent characteristics, which are easy to describe nonlinear and so on. Example proves that the prediction effect is ideal. It is a slope stability model which is simple, effective and easy to extend.

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