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- W2373878314 abstract "In this paper,forecasting model via Radical Basis Functions(RBF) based on chaotic characteristic analysis of inlet distortion test data is set up.Application in aeroengine inlet total pressure distortion index forecasting is investigated.The results show that the proposed methodologies can pursuit the change trend commendably and forecast efficiently.The methodologies can give powerful support for taking further measures to carry out effective and real time monitoring in aeroengine." @default.
- W2373878314 created "2016-06-24" @default.
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- W2373878314 date "2006-01-01" @default.
- W2373878314 modified "2023-09-22" @default.
- W2373878314 title "The Inlet Total Pressure Distortion Index Forecast Based on RBF Neural Networks" @default.
- W2373878314 hasPublicationYear "2006" @default.
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