Damage diagnosis in beam-like structures by artificial neural networks
Applicability of artificial neural networks is examined in determining the natural frequencies of intact beams and crack parameters of damaged beams. Multi-layer perceptron (MLP) and radial basis neural networks (RBNN) are utilized for training and validation of input data. In the first part of the...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Vilnius Gediminas Technical University
2015-05-01
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| Series: | Journal of Civil Engineering and Management |
| Subjects: | |
| Online Access: | http://journals.vgtu.lt/index.php/JCEM/article/view/2907 |