UM  > Faculty of Science and Technology
Status已發表Published
Fast Detection of Impact Location Using Kernel Extreme Learning Machine
Fu, H.M.; Vong, C. M.; Wong, P. K.; Yang, Z. X.
2016
Source PublicationNeural Computing and Applications (SCI-E)
ISSN0941-0643
Pages121-130
AbstractDamage location detection has direct relationship with the field of aerospace structure as the detection system can inspect any exterior damage that may affect the operations of the equipment. In the literature, several kinds of learning algorithms have been applied in this field to construct the detection system and some of them gave good results. However, most learning algorithms are time-consuming due to their computational complexity so that the real-time requirement in many practical applications cannot be fulfilled. Kernel extreme learning machine (kernel ELM) is a learning algorithm which has good prediction performance while maintaining extremely fast learning speed. Kernel ELM is originally applied to this research to predict the location of impact event on a clamped aluminum plate which simulates the shell of aerospace structures. The results were compared with several previous work, including support vector machine (SVM), and conventional back-propagation neural networks (BPNN). The comparison result reveals the effectiveness of kernel ELM for impact detection, showing that kernel ELM has comparable accuracy to SVM but much faster speed on current application than SVM and BPNN
KeywordDamage Location Detection Kernel ELM Plate structure
Language英語English
The Source to ArticlePB_Publication
PUB ID11581
Document TypeJournal article
CollectionFaculty of Science and Technology
Corresponding AuthorVong, C. M.
Recommended Citation
GB/T 7714
Fu, H.M.,Vong, C. M.,Wong, P. K.,et al. Fast Detection of Impact Location Using Kernel Extreme Learning Machine[J]. Neural Computing and Applications (SCI-E), 2016, 121-130.
APA Fu, H.M.., Vong, C. M.., Wong, P. K.., & Yang, Z. X. (2016). Fast Detection of Impact Location Using Kernel Extreme Learning Machine. Neural Computing and Applications (SCI-E), 121-130.
MLA Fu, H.M.,et al."Fast Detection of Impact Location Using Kernel Extreme Learning Machine".Neural Computing and Applications (SCI-E) (2016):121-130.
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