基于大数据分析的船用通信网络优化调度算法

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英文篇名：Network optimal scheduling algorithms for large data analysis 作者：谭文武 英文作者：TAN Wen-wu;Jiangxi University of Engineering, Institute of Electronic Commerce; 关键词：船用通信网络 ; 优化调度算法 ; 大数据分析 ; 相关向量机 ; 性能测试 英文关键词：marine communication network;;optimal scheduling algorithm;;large data analysis;;correlation vector machine;;performance testing 中文刊名：JCKX 英文刊名：Ship Science and Technology 机构：江西工程学院; 出版日期：2019-07-23 出版单位：舰船科学技术 年：2019 期：v.41 语种：中文; 页：JCKX201914065 页数：3 CN：14 ISSN：11-1885/U 分类号：194-196

摘要

为了提高船用通信网络优化调度效果,设计了基于大数据分析的船用通信网络优化调度算法。首先分析了船用通信网络优化调度原理,指出了影响船用通信网络优化调度结果的因素,然后收集船用通信网络优化调度的数据,采用大数据分析方法中的相关向量机和时间分析算法对船用通信网络优化调度问题进行建模,最后进行了船用通信网络优化调度算法性能的测试实验。结果表明,大数据分析算法解决了当前船用通信网络优化调度中存在的一些难题,提高了船用通信网络优化调度精度,船用通信网络优化调度时间得以减少,提升了船用通信网络优化调度效率,具有一定的实际应用价值。
        In order to improve the effect of optimal scheduling of marine communication network, an optimal scheduling algorithm of marine communication network based on large data analysis is designed. Firstly, the principle of optimal dispatching of marine communication network is analyzed, and the reasons for improving the results of optimal dispatching of marine communication network are pointed out. Then the data of optimal dispatching of marine communication network are collected. The problem of optimal dispatching of marine communication network is modeled by correlation vector machine and time analysis algorithm in the method of large data analysis. Finally, the arithmetic of optimal dispatching of marine communication network is carried out. The test results show that the big data analysis algorithm can solve some problems in the current optimal scheduling of marine communication network, improve the accuracy of optimal scheduling of marine communication network, reduce the optimal scheduling time of marine communication network, and improve the efficiency of optimal scheduling of marine communication network, which has certain practical application value.

引文

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