An APPSO–SVM approach building the monitoring model of dam safety-Reference-Cited by-同舟云学术

An APPSO–SVM approach building the monitoring model of dam safety

Published:2022-08-10 Issue:21 Volume:26 Page:11451-11459
ISSN:1432-7643
Container-title:Soft Computing
language:en
Short-container-title:Soft Comput

Author:

Wen Zhiping,Fan Zhendong,Su Huaizhi^ORCID

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s00500-022-07422-z.pdf

Reference19 articles.

1. Asanga R, Saman KH, Harry CW (2004) Self-organizing hierarchical particle swarm optimizer with time-varying acceleration coefficients. IEEE Trans Evol Comput 8(3):240–255

2. Chen J (2001) Short-term prediction of observation data based on Lyapunov exponent. J Hydraul Eng 32(9):64–67

3. Cheng L, Zheng DJ (2013) Two online dam safety monitoring models based on the process of extracting environmental effect. Adv Eng Softw 57(1):48–56

4. Liu HW, Lin YX, Qi MJ et al (2005) Improved particle swarm optimization algorithm for solving constrained optimization problems. J Northeast Pet Univ 29(4):73–75

5. Mata J (2011) Interpretation of concrete dam behaviour with artificial neural network and multiple linear regression models. Eng Struct 33(3):903–910

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