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- W2381222148 abstract "In order to improve the aviation structure′s damage identification accuracy and rate,a multi-agent decision fusion based on the mutual information classifier selection is proposed in this paper.Firstly,the samples were acquired,the pre-selected pattern classifiers were used to test,and then the confusion matrix of each classifier was obtained.Secondly,the optimal classifier combination was selected using mutual information.Finally,multi-agent decision fusion was used to obtain the recognition result of the system.Aviation aluminum stiffened plate experiments show that the method can accurately and rapidly identify the damage." @default.
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- W2381222148 date "2011-01-01" @default.
- W2381222148 modified "2023-09-28" @default.
- W2381222148 title "Structure damage recognition using multi-agent decision fusion" @default.
- W2381222148 hasPublicationYear "2011" @default.
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