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- W2386339029 abstract "In order to make full use of multi-resource and uncertain data and to improve the damage identification accuracy of the objective from a large structural health monitoring system,a construction method of basic belief assignment function and a new data-fusion damage identification method were proposed in this paper via constructing an FNN model.In this proposed damage identification method,the original data is preprocessed and the feature parameters are extracted.Thus these parameters are regarded as input vectors of an FNN,this FNN classifier is constructed and then decision results were drawn by this model.Finally,the fusion decision-making results are computed and drawn by the data fusion algorithm of D-S evidential theory.A 7-story shear frame numerical model was utilized to validate this proposed method,and a comparison was made between this method and single FNN classifier.The results show that the proposed damage identification method is more exact and reliable than that of single FNN classifier." @default.
- W2386339029 created "2016-06-24" @default.
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- W2386339029 date "2008-01-01" @default.
- W2386339029 modified "2023-09-24" @default.
- W2386339029 title "A new structural damage identification method based on fuzzy neural network and evidential theory" @default.
- W2386339029 hasPublicationYear "2008" @default.
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