Structural Damage Identification Using Improved RBF Neural Networks in Frequency Domain
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Cites methods from "Structural Damage Identification Us..."
...The third method is to identify damage[12] by using the transfer function between the response of measured points before and after structural damage....
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References
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"Structural Damage Identification Us..." refers background or methods in this paper
...They are an active research topic and have been applied to the solution of many problems (Moody and Darken 1989)....
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...Conventional RBF neural networks are trained in three stages (Moody and Darken 1989; Reddy and Ganguli 2003; Zang et al. 2007)....
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...…study is exact interpolation type where the number of centroids (J) and the size of training patterns (m) are equal. c) The two training parameters (Moody and Darken 1989): the centroids represented by cj and the width or spread represented by σj (Section 2) are selected from the LHS clusters and…...
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...c) The two training parameters (Moody and Darken 1989): the centroids represented by cj and the width or spread represented by σj (Section 2) are selected from the LHS clusters and random selection by trial and error basis respectively to train the network....
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2,916 citations
"Structural Damage Identification Us..." refers methods in this paper
...Doebling et al. (1996) presented a review on detection, location, and characterization of the structural damage via techniques that examine changes in measured structural vibration response....
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591 citations
"Structural Damage Identification Us..." refers background or methods in this paper
...The size of an LHS design matrix thus grows much more slowly with k than more conventional experimental designs (e.g., factorial, fractional factorial or Central Composite Designs (Kleijnen 2008))....
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..., factorial, fractional factorial or Central Composite Designs (Kleijnen 2008))....
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