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- W2361324803 abstract "A new accurately robust BP-fuzzy reasoning system for learning combination is proposed. This learning system is mainly constructed with a robust BP network with fuzzy reasoning which replaced robust estimation and mixed fuzzy reasoning.The main feature of this learning system is a simple algorithm constructed from the following three parts: RBP learning algorithm, max-min fuzzy reasoning and min-max fuzzy reasoning. This learning system is applied to a target tracking problem.The results of test show that this tracking system is more accurate and more robust." @default.
- W2361324803 created "2016-06-24" @default.
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- W2361324803 date "1995-01-01" @default.
- W2361324803 modified "2023-09-25" @default.
- W2361324803 title "A HIGHLY ACCURATE ROBUST BP-FUZZY REASONING SYSTEM FOR LEARNING COMBINATION" @default.
- W2361324803 hasPublicationYear "1995" @default.
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