计算机科学
平面图(考古学)
人工神经网络
绘图
集合(抽象数据类型)
端口(电路理论)
线路规划
阅读(过程)
数据挖掘
运筹学
数据集
人工智能
机器学习
工程类
运输工程
计算机图形学(图像)
历史
电气工程
考古
程序设计语言
法学
政治学
作者
Xin Jin,Junting Xiong,Dongliang Gu,Chengtao Yi,Yongxin Jiang
出处
期刊:IOP Conference Series: Earth and Environmental Science
日期:2021-02-12
卷期号:638: 012033-012033
标识
DOI:10.1088/1755-1315/638/1/012033
摘要
Route design is an indispensable skill for ships and navigators. However, in actual work, most of the current route design still lies in manually reading port information and other graphic materials, and then revising the sailing plan in conjunction with the weather forecast. On the one hand, this method is not accurate enough, and the graphics and text data are not sufficiently real-time. On the other hand, this method has the disadvantages of being cumbersome and labor-intensive. In response to the above problems, this article combines the actual data set of ICOAD, applies the neural network model, and uses the A* algorithm to plan the route, which provides a reference for the application of artificial intelligence to ship route planning.
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