Sensitivity analysis of parameters affecting scour depth around bridge piers based on the non-tuned, rapid extreme learning machine method-Reference-Cited by-同舟云学术

Sensitivity analysis of parameters affecting scour depth around bridge piers based on the non-tuned, rapid extreme learning machine method

Published:2018-09-17 Issue:12 Volume:31 Page:9145-9156
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Ebtehaj Isa,Bonakdari Hossein^ORCID,Zaji Amir Hossein,Sharafi Hassan

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/s00521-018-3696-6.pdf

Reference42 articles.

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2. Firat M, Gungor M (2009) Generalized regression neural networks and feed forward neural networks for prediction of scour depth around bridge piers. Adv Eng Softw 40:731–737. https://doi.org/10.1016/j.advengsoft.2008.12.001

3. Laursen EM, Toch A (1956) Scour around bridge piers and abutments. Iowa Highway Research Board, Washington

4. Breusers HNC, Nicollet G, Shen HW (1977) Local scour around cylindrical piers. J Hydraul Res 15:211–252

5. Richardson EV, Harrison LJ, Richardson JR, Davis SR (1993) Evaluating scour at bridges, 2nd edn. Federal Highway Administration, US Department of Transportation, McLean

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