针对遗传算法(Genetic Algorithm,GA)和人工神经网络(Artificial Neural Network,ANN)的缺陷,把二者有机结合起来,提出了基于GA-BP神经网络的沿海港口吞吐量的预测模型,并将预测结果与一般BP神经网络做比较,结果表明该模型比一般BP神经网络预测模型的预测精度要高很多。 According to the defects of Genetic Algorithm (GA) and Artificial Neural Network (ANN), the forecast model of the throughput of coastal ports based on GA-BP neural network is put forward by combining the two. The results are compared with the general BP neural network. The results show that the prediction accuracy of this model is much higher than that of the general BP neural network prediction model.