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Open access
MDPI
Applied Sciences (Switzerland)
,  том 7 ,  издание 4 ,  страницы 391

Hierarchical Wavelet-Aided Neural Intelligent Identification of Structural Damage in Noisy Conditions

Тип публикации: Journal Article
Дата публикации: 2017-04-14
MDPI
scimago Q2
wos Q2
БС2
SJR: 0.521
CiteScore: 5.5
Impact factor: 2.5
ISSN: 20763417
Computer Science Applications
Process Chemistry and Technology
General Materials Science
Instrumentation
General Engineering
Fluid Flow and Transfer Processes
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ГОСТ |
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ГОСТ Скопировать
Cao M. S. et al. Hierarchical Wavelet-Aided Neural Intelligent Identification of Structural Damage in Noisy Conditions // Applied Sciences (Switzerland). 2017. Vol. 7. No. 4. p. 391.
ГОСТ со всеми авторами (до 50) Скопировать
Cao M. S., Ding Yu. J., Ren W., Wang Q., Ragulskis M., Ding Z. Hierarchical Wavelet-Aided Neural Intelligent Identification of Structural Damage in Noisy Conditions // Applied Sciences (Switzerland). 2017. Vol. 7. No. 4. p. 391.
RIS |
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RIS Скопировать
TY - JOUR
DO - 10.3390/app7040391
UR - https://doi.org/10.3390/app7040391
TI - Hierarchical Wavelet-Aided Neural Intelligent Identification of Structural Damage in Noisy Conditions
T2 - Applied Sciences (Switzerland)
AU - Cao, Mao Sen
AU - Ding, Yu Juan
AU - Ren, Wei-Xin
AU - Wang, Q
AU - Ragulskis, Minvydas
AU - Ding, Zhi-Chun
PY - 2017
DA - 2017/04/14
PB - MDPI
SP - 391
IS - 4
VL - 7
SN - 2076-3417
ER -
BibTex |
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BibTex (до 50 авторов) Скопировать
@article{2017_Cao,
author = {Mao Sen Cao and Yu Juan Ding and Wei-Xin Ren and Q Wang and Minvydas Ragulskis and Zhi-Chun Ding},
title = {Hierarchical Wavelet-Aided Neural Intelligent Identification of Structural Damage in Noisy Conditions},
journal = {Applied Sciences (Switzerland)},
year = {2017},
volume = {7},
publisher = {MDPI},
month = {apr},
url = {https://doi.org/10.3390/app7040391},
number = {4},
pages = {391},
doi = {10.3390/app7040391}
}
MLA
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MLA Скопировать
Cao, Mao Sen, et al. “Hierarchical Wavelet-Aided Neural Intelligent Identification of Structural Damage in Noisy Conditions.” Applied Sciences (Switzerland), vol. 7, no. 4, Apr. 2017, p. 391. https://doi.org/10.3390/app7040391.