{"title":"并购:用人工智能增强罗兰传播技术","authors":"F. D. Mackenzie, F. Coyne","doi":"10.1109/PLANS.1992.185823","DOIUrl":null,"url":null,"abstract":"In November 1993 NFOLDS's (National Field Office for Loran Data Support) work-but not its expert staff-will move to the Federal Aviation Administration in Oklahoma City. To recreate NFOLDS's skills in detecting data anomalies, a merger of artificial intelligence and propagation technology has been designed into the system. The authors describe the use of a neural network acting on Loran data to classify anomalies. They also describe an expert system for Loran area monitors to aid operators in managing data collection. It is concluded that the use of artificial intelligence will preserve the quality of Loran data and enhance its value to the scientific community.<<ETX>>","PeriodicalId":422101,"journal":{"name":"IEEE PLANS 92 Position Location and Navigation Symposium Record","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Merger and acquisition: enhancing Loran propagation technology with artificial intelligence\",\"authors\":\"F. D. Mackenzie, F. Coyne\",\"doi\":\"10.1109/PLANS.1992.185823\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In November 1993 NFOLDS's (National Field Office for Loran Data Support) work-but not its expert staff-will move to the Federal Aviation Administration in Oklahoma City. To recreate NFOLDS's skills in detecting data anomalies, a merger of artificial intelligence and propagation technology has been designed into the system. The authors describe the use of a neural network acting on Loran data to classify anomalies. They also describe an expert system for Loran area monitors to aid operators in managing data collection. It is concluded that the use of artificial intelligence will preserve the quality of Loran data and enhance its value to the scientific community.<<ETX>>\",\"PeriodicalId\":422101,\"journal\":{\"name\":\"IEEE PLANS 92 Position Location and Navigation Symposium Record\",\"volume\":\"20 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-03-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE PLANS 92 Position Location and Navigation Symposium Record\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PLANS.1992.185823\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE PLANS 92 Position Location and Navigation Symposium Record","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PLANS.1992.185823","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Merger and acquisition: enhancing Loran propagation technology with artificial intelligence
In November 1993 NFOLDS's (National Field Office for Loran Data Support) work-but not its expert staff-will move to the Federal Aviation Administration in Oklahoma City. To recreate NFOLDS's skills in detecting data anomalies, a merger of artificial intelligence and propagation technology has been designed into the system. The authors describe the use of a neural network acting on Loran data to classify anomalies. They also describe an expert system for Loran area monitors to aid operators in managing data collection. It is concluded that the use of artificial intelligence will preserve the quality of Loran data and enhance its value to the scientific community.<>
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