Efficient prediction of wind and wave induced long-term extreme load effects of floating suspension bridges using artificial neural networks and support vector machines

Prediction of long-term extreme load effects due to wave and wind actions for cable-supported bridges with floating pylons

(2018) Yuwang Xu et al.   ENGINEERING STRUCTURES

Time domain simulations of wind- and wave-induced load effects on a three-span suspension bridge with two floating pylons

(2018) Yuwang Xu et al.   MARINE STRUCTURES

An efficient reliability method combining adaptive Support Vector Machine and Monte Carlo Simulation

(2017) Qiujing Pan et al.   STRUCTURAL SAFETY

Joint Distribution of Environmental Condition at Five European Offshore Sites for Design of Combined Wind and Wave Energy Devices

(2015) Lin Li et al.   JOURNAL OF OFFSHORE MECHANICS AND ARCTIC ENGINEERING-TRANSACTIONS OF THE ASME

LIBSVM

(2012) Chih-Chung Chang et al.   ACM Transactions on Intelligent Systems and Technology

Structural reliability analysis using Monte Carlo simulation and neural networks

(2007) João B. Cardoso et al.   ADVANCES IN ENGINEERING SOFTWARE

Slope reliability analysis using a support vector machine

(2007) Hong-bo Zhao   COMPUTERS AND GEOTECHNICS