Due to the defect of genetic algorithm, this paper applies extended genetic algorithm to establish the model of water requirement prediction of Yellow River basin combined with radial basis function neural network that is more superior to BP neural network.And then the model is used to predict the water requirement after it is optimized.Results of prediction indicate that the model can improve predicting ability and the accuracy efficiently.