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This paper proposes a damage identification method based on the combination of artificial neural network (ANN), Dempster–Shafer (D–S) evidence theory-based information fusion and the Shannon entropy, to form a weighted and selective information fusion technique to reduce the impact of uncertainties on damage identification. The initial damage decision is first made by several individual ANNs with...
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