相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。A hybrid model for predicting the axial compression capacity of square concrete-filled steel tubular columns
Sy Hung Mai et al.
ENGINEERING WITH COMPUTERS (2022)
Shear capacity prediction of slender reinforced concrete structures with steel fibers using machine learning
Oladimeji Benedict Olalusi et al.
ENGINEERING STRUCTURES (2021)
Ensemble approach based on bagging, boosting and stacking for short-term prediction in agribusiness time series
Matheus Henrique Dal Molin Ribeiro et al.
APPLIED SOFT COMPUTING (2020)
Machine learning-based compressive strength prediction for concrete: An adaptive boosting approach
De-Cheng Feng et al.
CONSTRUCTION AND BUILDING MATERIALS (2020)
Machine learning model for predicting structural response of RC slabs exposed to blast loading
M. K. Almustafa et al.
ENGINEERING STRUCTURES (2020)
Practical artificial neural network tool for predicting the axial compression capacity of circular concrete-filled steel tube columns with ultra-high-strength concrete
Viet-Linh Tran et al.
THIN-WALLED STRUCTURES (2020)
Efficiency of three advanced data-driven models for predicting axial compression capacity of CFDST columns
Viet-Linh Tran et al.
THIN-WALLED STRUCTURES (2020)
Machine learning framework for predicting failure mode and shear capacity of ultra high performance concrete beams
Roya Solhmirzaei et al.
ENGINEERING STRUCTURES (2020)
Concrete-filled steel tubular columns: Test database, design and calibration
Son Thai et al.
JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH (2019)
Prediction of Ultimate Axial Capacity of Square Concrete-Filled Steel Tubular Short Columns Using a Hybrid Intelligent Algorithm
Qiubing Ren et al.
APPLIED SCIENCES-BASEL (2019)
ANN Model for Predicting the Compressive Strength of Circular Steel-Confined Concrete
M. Ahmadi et al.
INTERNATIONAL JOURNAL OF CIVIL ENGINEERING (2017)
Behaviour and design of short high-strength steel welded box and concrete-filled tube (CFT) sections
M. Khan et al.
ENGINEERING STRUCTURES (2017)
Axial performance of short concrete filled steel tubes with high- and ultra-high-strength materials
Ming-Xiang Xiong et al.
ENGINEERING STRUCTURES (2017)
Research on axial bearing capacity of rectangular concrete-filled steel tubular columns based on artificial neural networks
Yansheng Du et al.
FRONTIERS OF COMPUTER SCIENCE (2017)
Design of Concrete Filled Tubular Beam-columns with High Strength Steel and Concrete
J. Y. Richard Liew et al.
STRUCTURES (2016)
Many regression algorithms, one unified model: A review
Freek Stulp et al.
NEURAL NETWORKS (2015)
Random forest Gini importance favours SNPs with large minor allele frequency: impact, sources and recommendations
Anne-Laure Boulesteix et al.
BRIEFINGS IN BIOINFORMATICS (2012)
Feature selection based on mutual information: Criteria of max-dependency, max-relevance, and min-redundancy
HC Peng et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2005)
Behavior of centrally loaded concrete-filled steel-tube short columns
K Sakino et al.
JOURNAL OF STRUCTURAL ENGINEERING-ASCE (2004)
Strength of slender concrete filled high strength steel box columns
M Mursi et al.
JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH (2004)
Strength of short concrete filled high strength steel box columns
B Uy
JOURNAL OF CONSTRUCTIONAL STEEL RESEARCH (2001)