Bearing Capacity of Shallow Foundation's Prediction through Hybrid Artificial Neural Networks

The utilization of Artificial Neural Network (ANN) for bearing capacity estimation has some disadvantages such as getting trapped in local minima and slow rate of learning. Recent developments of optimization algorithms such as Particle Swarm Optimization (PSO) have made it possible to overcome ANN...

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Veröffentlicht in:	Applied Mechanics and Materials 2014-06, Vol.567 (Structural, Environmental, Coastal and Offshore Engineering), p.681-686
Hauptverfasser:	Hajihassani, Mohsen, Marto, Aminaton, Momeni, Ehsan
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Bearing capacity Foundations Learning theory Mathematical models Soil bearing capacity Swarm intelligence
Online-Zugang:	Volltext
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