Application of BP neutral network and genetic algorithm

被引：0
|
作者：
Liu, Jie [1 ]
Yan, Huifeng [2 ]
Pan, Yingjun [2 ]
机构：
[1] School Of Civil Engineering & Architecture, Chongqing Jiaotong Univ, Chongqing,400074, China
[2] The key lab of OptoElectronics Technology and System, Ministry of Education, ChongQing University, Chongqing,400044, China
来源：
Open Cybernetics and Systemics Journal | 2015年 / 9卷
关键词：
Rivers - Neural networks;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Ro-Ro transportation refers to a way of maritime transportation that uses Ro-Ro to bring goods and shipment together. Developments of Ro-Ro transport at home and abroad are outlined, and development process of China’s Ro-Ro transport is reviewed. The development and status of Ro-Ro transport of Yangtze River are analyzed in detail. Based on survey research, due to the change of road structure of Yangtze River region, the survival and development of Yangtze River Ro-Ro transport are faced with serious threats. It is imperative to forecast the future freight volume of Yangtze River Ro-Ro transport with assured accuracy, and generate strategies to ensure the healthy development of Yangtze River Ro-Ro transport. This paper adopts the GABP (Genetic-BP Neural Network) model to forecast the freight volume of Yangtze River Ro-Ro transport. Comparative data is used to ensure the accuracy of the model, which solves the imbalances of traffic and capacity. © Jie et al.; Licensee Bentham Open.
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页码：1416 / 1421
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