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Dokumenttyp:
Zeitschriftenaufsatz 
Autor(en):
Dang, Nguyen Mai; Tran Anh, Duong; Dang, Thanh Duc: 
Titel:
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...    »
 
Stichworte:
Artificial neural network (ANN); Scour; Bridge pier; Particle swarm optimization (PSO); Levenberg–Marquardt algorithm (LM); Firefly algorithm (FA) 
Dewey Dezimalklassifikation:
620 Ingenieurwissenschaften 
Zeitschriftentitel:
Engineering with Computers 
Jahr:
2021 
Band / Volume:
Vol. 37 
Heft / Issue:
Seitenangaben Beitrag:
293-303 
Nachgewiesen in:
Scopus; Web of Science 
Reviewed:
ja 
Sprache:
en 
Verlag / Institution:
Springer Science and Business Media LLC 
Verlagsort:
New York, NY, USA 
Print-ISSN:
0177-0667 
E-ISSN:
1435-5663 
Impact Factor:
7.963 (2020) 
Format:
Text