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Document type:
Zeitschriftenaufsatz 
Author(s):
Dang, Nguyen Mai; Tran Anh, Duong; Dang, Thanh Duc 
Title:
ANN optimized by PSO and Firefly algorithms for predicting scour depths around bridge piers 
Abstract:
The estimation of scour depths is extremely important in designing the foundation of piers which ensure the integrity of bridges and other hydraulic structures. Complicated hydrodynamic processes around piers are the main challenge to formulate explicitly empirical equations in providing scour depth estimation. Consequently, the proposed empirical formulae only yield good prediction results for specific conditions. In this study, the particle swarm optimization and Firefly algorithms are pro...    »
 
Keywords:
Artificial neural network (ANN); Scour; Bridge pier; Particle swarm optimization (PSO); Levenberg–Marquardt algorithm (LM); Firefly algorithm (FA) 
Dewey Decimal Classification:
620 Ingenieurwissenschaften 
Journal title:
Engineering with Computers 
Year:
2019 
Pages contribution:
1-11 
Covered by:
Scopus 
Reviewed:
ja 
Language:
en 
Publisher:
Springer Science and Business Media LLC 
Publisher address:
New York, NY, USA 
E-ISSN:
0177-06671435-5663 
Impact Factor:
3.551 (2018) 
Date of publication:
18.07.2019 
Format:
Text