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。Data-Driven Approach to Predict the Plastic Hinge Length of Reinforced Concrete Columns and Its Application
De-Cheng Feng et al.
JOURNAL OF STRUCTURAL ENGINEERING (2021)
Machine learning-based compressive strength prediction for concrete: An adaptive boosting approach
De-Cheng Feng et al.
CONSTRUCTION AND BUILDING MATERIALS (2020)
A metamodeling based seismic life-cycle cost assessment framework for highway bridge structures
Shivang Shekhar et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2020)
Modelling and interpreting pre-evacuation decision-making using machine learning
Xilei Zhao et al.
AUTOMATION IN CONSTRUCTION (2020)
Data-driven machine-learning-based seismic failure mode identification of reinforced concrete shear walls
Sujith Mangalathu et al.
ENGINEERING STRUCTURES (2020)
Metaresearching Structural Engineering Using Text Mining: Trend Identifications and Knowledge Gap Discoveries
Mohamed Ezzeldin et al.
JOURNAL OF STRUCTURAL ENGINEERING (2020)
Failure mode classification and bearing capacity prediction for reinforced concrete columns based on ensemble machine learning algorithm
De-Cheng Feng et al.
ADVANCED ENGINEERING INFORMATICS (2020)
Ground Motion-Dependent Rapid Damage Assessment of Structures Based on Wavelet Transform and Image Analysis Techniques
Sujith Mangalathu et al.
JOURNAL OF STRUCTURAL ENGINEERING (2020)
Mechanics-Guided Genetic Programming Expression for Shear-Strength Prediction of Squat Reinforced Concrete Walls with Boundary Elements
Ahmed Gondia et al.
JOURNAL OF STRUCTURAL ENGINEERING (2020)
From local explanations to global understanding with explainable AI for trees
Scott M. Lundberg et al.
NATURE MACHINE INTELLIGENCE (2020)
Explanation in artificial intelligence: Insights from the social sciences
Tim Miller
ARTIFICIAL INTELLIGENCE (2019)
Deep learning-based classification of earthquake-impacted buildings using textual damage descriptions
Sujith Mangalathu et al.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION (2019)
On the application of machine learning techniques to derive seismic fragility curves
Jalal Kiani et al.
COMPUTERS & STRUCTURES (2019)
Robust Pixel-Level Crack Detection Using Deep Fully Convolutional Neural Networks
Mohamad Alipour et al.
JOURNAL OF COMPUTING IN CIVIL ENGINEERING (2019)
Machine Learning-Based Failure Mode Recognition of Circular Reinforced Concrete Bridge Columns: Comparative Study
Sujith Mangalathu et al.
JOURNAL OF STRUCTURAL ENGINEERING (2019)
Developing an XGBoost model to predict blast-induced peak particle velocity in an open-pit mine: a case study
Hoang Nguyen et al.
ACTA GEOPHYSICA (2019)
Machine learning algorithms for structural performance classifications and predictions: Application to reinforced masonry shear walls
Ahmad Siam et al.
STRUCTURES (2019)
Seismic fragility analysis with artificial neural networks: Application to nuclear power plant equipment
Zhiyi Wang et al.
ENGINEERING STRUCTURES (2018)
General solution for shear strength estimate of RC elements based on panel response
Leonardo M. Massone et al.
ENGINEERING STRUCTURES (2018)
XGBFEMF: An XGBoost-Based Framework for Essential Protein Prediction
Jiancheng Zhong et al.
IEEE TRANSACTIONS ON NANOBIOSCIENCE (2018)
A Data-Driven Design for Fault Detection of Wind Turbines Using Random Forests and XGboost
Dahai Zhang et al.
IEEE ACCESS (2018)
Critical uncertainty parameters influencing seismic performance of bridges using Lasso regression
Sujith Mangalathu et al.
EARTHQUAKE ENGINEERING & STRUCTURAL DYNAMICS (2018)
Probabilistic development of shear strength model for reinforced concrete squat walls
Chao-Lie Ning et al.
EARTHQUAKE ENGINEERING & STRUCTURAL DYNAMICS (2017)
Flange effects on seismic performance of reinforced concrete squat walls with irregular or regular openings
Bing Li et al.
ENGINEERING STRUCTURES (2016)
Shear strength of squat walls: A strut-and-tie model and closed-form design formula
Wael Kassem
ENGINEERING STRUCTURES (2015)
Experimental Evaluation of Seismic Performance of Squat RC Structural Walls with Limited Ductility Reinforcing Details
Bing Li et al.
JOURNAL OF EARTHQUAKE ENGINEERING (2015)
Explaining prediction models and individual predictions with feature contributions
Erik Strumbelj et al.
KNOWLEDGE AND INFORMATION SYSTEMS (2014)
Seismic Performance Parameter Quantification of Shear-Critical Reinforced Concrete Masonry Squat Walls
Wael W. El-Dakhakhni et al.
JOURNAL OF STRUCTURAL ENGINEERING (2013)
Permutation importance: a corrected feature importance measure
Andre Altmann et al.
BIOINFORMATICS (2010)
Strength prediction of squat structural walls via calibration of a shear-flexure interaction model
Leonardo M. Massone
ENGINEERING STRUCTURES (2010)
Evaluation of softened truss model for strength prediction of reinforced concrete squat walls
HW Yu et al.
JOURNAL OF ENGINEERING MECHANICS-ASCE (2005)
Analytical model for predicting shear strength of squat walls
SJ Hwang et al.
JOURNAL OF STRUCTURAL ENGINEERING-ASCE (2001)
分享论文
