CAJ | 학술논문

船舶监控数据分析技术是船舶自动化和信息处理的重要内容.详细介绍了船舶监控数据分析技术的发展过程,重点阐述统计模型、灰色理论和神经网络等在船舶监控数据分析技术中的应用和发展,并结合最新的文献评述船舶监控数据分析技术的现状.船舶安全监控涉及面广,其参数之多和复杂程度是以往其它设备不能比拟的,属于大系统安全监控.由于需要巨量监控参数,它对神经网络提出了很高的要求.进一步阐明神经网络在船舶监控管理系统中的重要地位与作用.
선박감공수거분석기술시선박자동화화신식처리적중요내용.상세개소료선박감공수거분석기술적발전과정,중점천술통계모형、회색이론화신경망락등재선박감공수거분석기술중적응용화발전,병결합최신적문헌평술선박감공수거분석기술적현상.선박안전감공섭급면엄,기삼수지다화복잡정도시이왕기타설비불능비의적,속우대계통안전감공.유우수요거량감공삼수,타대신경망락제출료흔고적요구.진일보천명신경망락재선박감공관리계통중적중요지위여작용.
Ship monitoring data analysis technology is important to ship automation and information processing. Development of ship monitoring data analysis technology is introduced in detail in this paper. Application of statistical model, gray theory and neural network theory in monitoring data analysis of ship is focused on, with the latest references introduced. The ship security monitoring involves many aspects and is more complex than other devices. It needs huge amount of control parameters, while neural network pays an important role. Importance of neural network to ship monitoring management system is clarified.