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- W2076850001 abstract "The accurate load identification can ensure the security and reliability of engineering structures. Recently, this technique has attracted much attention by many scholars. This paper concludes the latest load identification technologies at home and abroad, which include the machine learning methods based on neural network method, support vector machine (SVM) and optimization methods, and the wavelet transform method. In addition, their advantages and disadvantages and the applicable ranges are also discussed. Finally, the prospect of dynamic load identification was discussed, so as to extend the application area of load identification. n�GeZ����6�span>dentification" @default.
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- W2076850001 date "2014-05-01" @default.
- W2076850001 modified "2023-09-27" @default.
- W2076850001 title "Overview of the Latest Method and Development Direction for Dynamic Load Identification" @default.
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- W2076850001 doi "https://doi.org/10.4028/www.scientific.net/amm.556-562.2573" @default.
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