摘要
指出了预测对航行安全性的重要意义 ,传统的预测方法存在的缺陷 .运用神经网络建立时间序列的航行安全性预测模型 ,克服了传统预测方法必须事先构造函数的不足之处 .分析表明 。
The importance of navigation safety was described and the shortcomings of traditional predicting methods were discussed. The navigation safety predicting model of time sequence based on neural network was established. The model could overcome the shortcomings of the traditional predicting methods and was needless to determine the special function beforehand. Therefore, the accuracy of the prediction was improved. Utilizing the model will be provided significant of theory guiding and volumes of practice.
出处
《武汉理工大学学报（交通科学与工程版）》
北大核心
2002年第2期217-219,共3页
Journal of Wuhan University of Technology（Transportation Science & Engineering）
