Adaptive-neuro-fuzzy-inference-system model for prediction of ultimate load of rectangular concrete-filled steel tubular columns

This study is devoted to the development of an Adaptive-Neuro-Fuzzy-Inference-System (ANFIS) model for the prediction of ultimate load of rectangular concrete-filled steel tubular structural members. The learning process of the model is performed by conducting a combination of backpropagation gradie...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Journal of intelligent & fuzzy systems 2022-01, Vol.43 (1), p.1-19
Hauptverfasser:	Duong, T.H., Le, T.-T., Nguyen, S.X., Le, M.V.
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive systems Artificial neural networks Back propagation networks Concrete columns Data points Fuzzy logic Gaussian process Inference Machine learning Random sampling Root-mean-square errors Sensitivity analysis Steel columns Steel tubes Structural members Support vector machines Training Ultimate loads
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!