{"title":"基于RBF神经网络的船舶启航安全评估研究","authors":"Aoming Zhang, Haiyan Xie, Qinwen Cao","doi":"10.1109/CACRE50138.2020.9230020","DOIUrl":null,"url":null,"abstract":"Based on the actual cases of ships’ sailing safety accident, this paper analyzes the factors affecting the safety of ships’ setting sail and establishes a safety evaluating system. Then the RBF neural network model is established on the security evaluation system and compared with the BP network model. The experimental results show that the RBF neural network model is more advantageous in the research of ships’ sailing safety evaluation.","PeriodicalId":325195,"journal":{"name":"2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE)","volume":"208 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The Study of Safety of Ships’ Setting Sail Assessment Based on RBF Neural Network\",\"authors\":\"Aoming Zhang, Haiyan Xie, Qinwen Cao\",\"doi\":\"10.1109/CACRE50138.2020.9230020\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on the actual cases of ships’ sailing safety accident, this paper analyzes the factors affecting the safety of ships’ setting sail and establishes a safety evaluating system. Then the RBF neural network model is established on the security evaluation system and compared with the BP network model. The experimental results show that the RBF neural network model is more advantageous in the research of ships’ sailing safety evaluation.\",\"PeriodicalId\":325195,\"journal\":{\"name\":\"2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE)\",\"volume\":\"208 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CACRE50138.2020.9230020\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 5th International Conference on Automation, Control and Robotics Engineering (CACRE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CACRE50138.2020.9230020","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The Study of Safety of Ships’ Setting Sail Assessment Based on RBF Neural Network
Based on the actual cases of ships’ sailing safety accident, this paper analyzes the factors affecting the safety of ships’ setting sail and establishes a safety evaluating system. Then the RBF neural network model is established on the security evaluation system and compared with the BP network model. The experimental results show that the RBF neural network model is more advantageous in the research of ships’ sailing safety evaluation.
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