A novel hybrid artificial intelligent approach based on neural fuzzy inference model and particle swarm optimization for horizontal displacement modeling of hydropower dam-Reference-Cited by-同舟云学术

A novel hybrid artificial intelligent approach based on neural fuzzy inference model and particle swarm optimization for horizontal displacement modeling of hydropower dam

Published:2016-11-12 Issue:12 Volume:29 Page:1495-1506
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Bui Kien-Trinh Thi,Tien Bui Dieu^ORCID,Zou Jingui,Van Doan Chinh,Revhaug Inge

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/article/10.1007/s00521-016-2666-0/fulltext.html

Reference56 articles.

1. Salazar F, Morán R, Toledo M, Oñate E (2015) Data-based models for the prediction of dam behaviour: a review and some methodological considerations. Arch Comput Methods Eng. doi: 10.1007/s11831-015-9157-9

2. Salazar F, Toledo MA, Oñate E, Morán R (2015) An empirical comparison of machine learning techniques for dam behaviour modelling. Struct Saf 56:9–17. doi: 10.1016/j.strusafe.2015.05.001

3. De Sortis A, Paoliani P (2007) Statistical analysis and structural identification in concrete dam monitoring. Eng Struct 29(1):110–120

4. Mata J (2011) Interpretation of concrete dam behaviour with artificial neural network and multiple linear regression models. Eng Struct 33(3):903–910. doi: 10.1016/j.engstruct.2010.12.011

5. Bayrak T (2007) Modelling the relationship between water level and vertical displacements on the Yamula Dam, Turkey. Nat Hazards Earth Syst Sci 7(2):289–297

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