BP neural network has board application,but there are some defects: low efficiency and easy to fall into local minimum.Genetic algorithm possesses the ability of questing for optimum answers.Based on discussing the selection in training data,this paper establishes the genetic network by means of the combination of genetic algorithm and BP neural network,which evaluates sand liquefaction.By contrast of improvement BP neural network using momentum gradient algorithm,it indicates the superiority of BP neural network based on genetic algorithm in the evaluation of sand liquefaction.