并购:用人工智能增强罗兰传播技术

F. D. Mackenzie, F. Coyne
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引用次数: 0

摘要

1993年11月,国家罗兰数据支持办公室(NFOLDS)的工作——但不是其专家人员——将转移到俄克拉荷马城的联邦航空管理局。为了重现NFOLDS在检测数据异常方面的技能,系统中融合了人工智能和传播技术。作者描述了使用作用于Loran数据的神经网络对异常进行分类。他们还描述了Loran地区监视器的专家系统,以帮助操作员管理数据收集。结论是,人工智能的使用将保持罗兰数据的质量,并提高其对科学界的价值
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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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