交通信息与安全Issue(3)：110-113,118,5.DOI:10.3963/j.issn1674-4861.2014.03.022
基于灰色神经网络组合模型的水上交通事故预测
Vessel Traffic Accident Forecasting Using a Combination Gray Neural Network Model
李铃铃 1仇蕾1
作者信息
- 1. 河海大学水文水资源与水利工程科学国家重点实验室 南京211100
- 折叠
摘要
Abstract
The prediction of maritime accidents is an important part of maritime safety as it helps estimate future maritime accidents for management decision making .First ,a gray model was used to simulate accidents in water trans-portation .Then ,the original data were compared with the results to calculate the residuals .Finally ,the BP neural net-work model for the residual correction was applied in oeder to get the final prediction results .It was predicted that the number of water transportation accidents in 2012 and 2013 was 270 and 281 ,respectively .关键词
水上交通事故/灰色预测/BP神经网络Key words
maritime accidents/gray prediction method/BP neural network分类
交通工程引用本文复制引用
李铃铃,仇蕾..基于灰色神经网络组合模型的水上交通事故预测[J].交通信息与安全,2014,(3):110-113,118,5.
