Related references
Note: Only part of the references are listed.Sensitivity analysis in seismic reliability of an urban self-anchored suspension bridge
Zhiyuan Xia et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2022)
Application of back propagation neural network to the modeling of slump and compressive strength of composite geopolymers
Fenglan Kuang et al.
COMPUTATIONAL MATERIALS SCIENCE (2022)
Prediction of Self-Healing of Engineered Cementitious Composite Using Machine Learning Approaches
Guangwei Chen et al.
APPLIED SCIENCES-BASEL (2022)
Strength prediction of circular CFST columns through advanced machine learning methods
Chao Hou et al.
JOURNAL OF BUILDING ENGINEERING (2022)
Optimization Analysis Method of New Orthotropic Steel Deck Based on Backpropagation Neural Network-Simulated Annealing Algorithm
Xiuli Xu et al.
ADVANCES IN CIVIL ENGINEERING (2021)
Case Study of Deep Learning Model of Temperature-Induced Deflection of a Cable-Stayed Bridge Driven by Data Knowledge
Zixiang Yue et al.
SYMMETRY-BASEL (2021)
Hybrid meta-heuristic and machine learning algorithms for tunneling-induced settlement prediction: A comparative study
Pin Zhang et al.
TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2020)
The deformation monitoring of foundation pit by back propagation neural network and genetic algorithm and its application in geotechnical engineering
Jie Luo et al.
PLOS ONE (2020)
Investigation of Strength and Fatigue Life of Rubber Asphalt Mixture
Jiang Yuan et al.
MATERIALS (2020)
Bayesian network-based modal frequency-multiple environmental factors pattern recognition for the Xinguang Bridge using long-term monitoring data
He-Qing Mu et al.
JOURNAL OF LOW FREQUENCY NOISE VIBRATION AND ACTIVE CONTROL (2020)
A back-analysis method using an intelligent multi-objective optimization for predicting slope deformation induced by excavation
Yang Sun et al.
ENGINEERING GEOLOGY (2018)
Prediction of wind loads on high-rise building using a BP neural network combined with POD
Huang Dongmei et al.
JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS (2017)
Influence of creep on dynamic behavior of concrete filled steel tube arch bridges
Yishuo Ma et al.
STEEL AND COMPOSITE STRUCTURES (2016)
Back propagation neural network with adaptive differential evolution algorithm for time series forecasting
Lin Wang et al.
EXPERT SYSTEMS WITH APPLICATIONS (2015)
Application of artificial neural networks to predict the bond strength of FRP-to-concrete joints
Mohammed A. Mashrei et al.
CONSTRUCTION AND BUILDING MATERIALS (2013)
The application of a damage detection method using Artificial Neural Network and train-induced vibrations on a simplified railway bridge model
Jiangpeng Shu et al.
ENGINEERING STRUCTURES (2013)
Support Vector Machines Approach to Conditional Simulation of Non-Gaussian Stochastic Process
Chunxiang Li et al.
JOURNAL OF COMPUTING IN CIVIL ENGINEERING (2012)
Modeling and simulation of shear resistance of R/C beams using artificial neural network
Jamal A. Abdalla et al.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS (2007)
Structural damage detection using neural network with learning rate improvement
X Fang et al.
COMPUTERS & STRUCTURES (2005)
Sensitivity analysis of neural networks in spool fabrication productivity studies
M Lu et al.
JOURNAL OF COMPUTING IN CIVIL ENGINEERING (2001)
Insights into neural-network forecasting of time series corresponding to ARMA(p, q) structures
HB Hwarng
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE (2001)
Share Paper
