Yu Hongbin, X. Jiren, L. Ziqiang, Wu Dongsheng, Z. Xiaolan
{"title":"大型船舶监测管理系统的设计与实现","authors":"Yu Hongbin, X. Jiren, L. Ziqiang, Wu Dongsheng, Z. Xiaolan","doi":"10.1109/IPEC51340.2021.9421183","DOIUrl":null,"url":null,"abstract":"Monitoring and management system of large-sized watercraft is a non-linear complex system with many parameter. Monitoring and management system of large-sized watercraft based on networks is different from other conventional system, its basic idea is: at first large-sized watercraft is divdied into many multi-layer subsystem, computation of every rock-bottom system is finished by networks, and then give effect level of every factor, and then the effect level is taked as input value of the previous subsystem, after neural computation, and we can know evaluation of the previous subsystem of the subsystem, analogy according to this until we give evaluation of the large-sized watercraft. Experiment data and result is the same as the reslult the system give. Knowledge library of the system is easy to renew and maintain, and enhance self-learning ability of the system, and avoid the problem of “knowlegye explosion” in conventional expert system.","PeriodicalId":340882,"journal":{"name":"2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Design and Realization of Monitoring and Management System of Large-Scale Watercraft\",\"authors\":\"Yu Hongbin, X. Jiren, L. Ziqiang, Wu Dongsheng, Z. Xiaolan\",\"doi\":\"10.1109/IPEC51340.2021.9421183\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Monitoring and management system of large-sized watercraft is a non-linear complex system with many parameter. Monitoring and management system of large-sized watercraft based on networks is different from other conventional system, its basic idea is: at first large-sized watercraft is divdied into many multi-layer subsystem, computation of every rock-bottom system is finished by networks, and then give effect level of every factor, and then the effect level is taked as input value of the previous subsystem, after neural computation, and we can know evaluation of the previous subsystem of the subsystem, analogy according to this until we give evaluation of the large-sized watercraft. Experiment data and result is the same as the reslult the system give. Knowledge library of the system is easy to renew and maintain, and enhance self-learning ability of the system, and avoid the problem of “knowlegye explosion” in conventional expert system.\",\"PeriodicalId\":340882,\"journal\":{\"name\":\"2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-04-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IPEC51340.2021.9421183\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IPEC51340.2021.9421183","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Design and Realization of Monitoring and Management System of Large-Scale Watercraft
Monitoring and management system of large-sized watercraft is a non-linear complex system with many parameter. Monitoring and management system of large-sized watercraft based on networks is different from other conventional system, its basic idea is: at first large-sized watercraft is divdied into many multi-layer subsystem, computation of every rock-bottom system is finished by networks, and then give effect level of every factor, and then the effect level is taked as input value of the previous subsystem, after neural computation, and we can know evaluation of the previous subsystem of the subsystem, analogy according to this until we give evaluation of the large-sized watercraft. Experiment data and result is the same as the reslult the system give. Knowledge library of the system is easy to renew and maintain, and enhance self-learning ability of the system, and avoid the problem of “knowlegye explosion” in conventional expert system.