基于遗传算法和BP神经网络的海上搜救的研究
Research on the Maritime Search and Rescue Based on Genetic AIgorithm and BP NeuraI Network
闫海瑞 1陆能枝1
作者信息
- 1. 上海海事大学信息工程学院，上海 201306
- 折叠
摘要
随着全球经济快速发展，海上活动日益活跃，随之而来的是海上事故频发，这对海上搜救工作提出更高的要求，由于海上救援工作涉及因素众多，将利用遗传算法对所涉及的因素进行属性约简，得到最小的特征子集，并对选中的属性进行标准化处理，然后将处理后的属性作为BP神经网络的初始输入值，对BP神经网络进行训练，将海上搜救案例库中案例按搜救难度分类，使搜索更有针对性，提高搜索效率。
Abstract
In recent years, activities at sea became so frequent that the number of maritime accidents increased sharply, which put forward higher re-quirements to the method of maritime search and rescue. Because sea rescue work involves so many factors, uses genetic algorithm to at-tribute reduction of the factors involved in the work of rescue to get the smallest feature subset, and standardizes the selected property. Then uses the processed attributes as the initial input values of the BP neural network to train the network to sort the cases based on the difficulty in order to improve the search efficiency.
关键词
遗传算法/属性约简/BP神经网络/海上搜救Key words
Genetic Algorithm(GA)/Attribute Reduction/BP Neural Network/Maritime Search and Rescue引用本文复制引用
出版年
2015
NETL
NSTL
维普
万方数据