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Pile Defect Intelligent Identification Based on Wavelet Analysis and Neural Networks
In view of the phenomenon of pile test results are greatly influenced by human , the paper puts forward that to combine wavelet analysis and neural network for pile testing, use the extreme value point of the wavelet analysis as the input of neural networks, depending on the output codes to determine the defect types and position. And it is believed that there is a good potential for use in future.
Pile Defect Intelligent Identification Based on Wavelet Analysis and Neural Networks
In view of the phenomenon of pile test results are greatly influenced by human , the paper puts forward that to combine wavelet analysis and neural network for pile testing, use the extreme value point of the wavelet analysis as the input of neural networks, depending on the output codes to determine the defect types and position. And it is believed that there is a good potential for use in future.
Pile Defect Intelligent Identification Based on Wavelet Analysis and Neural Networks
Applied Mechanics and Materials ; 608-609 ; 899-902
01.10.2014
4 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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