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。Deep machine learning approach to develop a new asphalt pavement condition index
Hamed Majidifard et al.
CONSTRUCTION AND BUILDING MATERIALS (2020)
Improved estimation of dynamic modulus for hot mix asphalt using deep learning
Hongren Gong et al.
CONSTRUCTION AND BUILDING MATERIALS (2020)
Can the compressive strength of concrete be estimated from knowledge of the mixture proportions?: New insights from statistical analysis and machine learning methods
Benjamin A. Young et al.
CEMENT AND CONCRETE RESEARCH (2019)
New machine learning-based prediction models for fracture energy of asphalt mixtures
Hamed Majidifard et al.
MEASUREMENT (2019)
Investigating impacts of asphalt mixture properties on pavement performance using LTPP data through random forests
Hongren Gong et al.
CONSTRUCTION AND BUILDING MATERIALS (2019)
Improving accuracy of rutting prediction for mechanistic-empirical pavement design guide with deep neural networks
Hongren Gong et al.
CONSTRUCTION AND BUILDING MATERIALS (2018)
Learning from imbalanced data: open challenges and future directions
Bartosz Krawczyk
PROGRESS IN ARTIFICIAL INTELLIGENCE (2016)
An artificial neural network model for virtual Superpave asphalt mixture design
Hande I. Ozturk et al.
INTERNATIONAL JOURNAL OF PAVEMENT ENGINEERING (2014)
Artificial neural network based modelling of the Marshall Stability of asphalt concrete
Ercan Ozgan
EXPERT SYSTEMS WITH APPLICATIONS (2011)
Neural Network-Based Intelligent Compaction Analyzer for Estimating Compaction Quality of Hot Asphalt Mixes
Sesh Commuri et al.
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT (2011)
Machine learning algorithms for damage detection under operational and environmental variability
Eloi Figueiredo et al.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2011)
Prediction of Fatigue Life of Rubberized Asphalt Concrete Mixtures Containing Reclaimed Asphalt Pavement Using Artificial Neural Networks
Feipeng Xiao et al.
JOURNAL OF MATERIALS IN CIVIL ENGINEERING (2009)
Extremely randomized trees
P Geurts et al.
MACHINE LEARNING (2006)
Neural network model for asphalt concrete permeability
RA Tarefder et al.
JOURNAL OF MATERIALS IN CIVIL ENGINEERING (2005)
Prediction of remaining service life of bridge decks using machine learning
HG Melhem et al.
JOURNAL OF COMPUTING IN CIVIL ENGINEERING (2003)
Stochastic gradient boosting
JH Friedman
COMPUTATIONAL STATISTICS & DATA ANALYSIS (2002)
Missing value estimation methods for DNA microarrays
O Troyanskaya et al.
BIOINFORMATICS (2001)