Effects of variability in experimental database on machine-learning-based prediction of ultimate load of circular concrete-filled steel tubes
Q1
Saved in:
Main Author: | Ho, Nang Xuan |
---|---|
Other Authors: | Le, Tien-Thinh |
Format: | Article |
Language: | English |
Published: |
Measurement
2021
|
Subjects: | |
Online Access: | https://www.sciencedirect.com/science/article/abs/pii/S0263224121002165?via%3Dihub#! https://dlib.phenikaa-uni.edu.vn/handle/PNK/1772 https://doi.org/10.1016/j.measurement.2021.109198 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Adaptive-neuro-fuzzy-inference-system model for prediction of ultimate load of rectangular concrete-filled steel tubular columns
by: T.H. Duong, et al.
Published: (2022) -
Development of user-friendly kernel-based Gaussian process regression model for prediction of load-bearing capacity of square concrete-filled steel tubular members
by: Tien-Thinh, Le, et al.
Published: (2021) -
Prediction of axial load capacity of rectangular concrete-filled steel tube columns using machine learning techniques
by: Tien-Thinh Le, et al.
Published: (2021) -
Influence of system changes on closely spaced modes of a large-scale concrete tower for the application to structural health monitoring
by: Clemens, Jonscher, et al.
Published: (2023) -
Efficacy of an aid (gastric tube insertion guide) for oral insertion of a gastric tube a randomized controlled trial
by: Shunsuke, Saima, et al.
Published: (2023)