Abstract: According to the nine main factors,which affect building settlements due to earthquake liquefaction,a method is proposed to predict building settlements due to earthquake liquefaction based on support vector regression (ν-SVR) and genetic algorithm (GA).Since the modeling of this method uses the genetic algorithm to automatically determine the optimal parameters of ν-SVR,and it is directly based on 60 real measured seismic settlement samples,the nonlinear relation between building settlements and the various factors is established.The other 10 examples are predicated by the training model to achieve good results with the average relative error of around 5% compared with the actual building settlements.The effectiveness and feasibility have been proven.The analytic method and process discussed in this paper can also be applied to the seismic damage prediction of other structures of different forms.