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尚晓兵
Personal Information
Name (Pinyin): ShangXiaobing
School/Department: 智能科学与工程学院
Degree: Doctoral Degree in Engineering
Professional Title: Associate Professor
Status: Employed
Recommended MA Supervisor
Paper Publications
Current position:
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Paper Publications
.Black-box modeling of ship maneuvering motion using multi-output least-squares support vector regression based on optimal mixed kernel function:Ocean Engineering,2024
.Adaptive ensemble of multi-kernel Gaussian process regressions based on heuristic model screening for nonparametric modeling of ship maneuvering motion:Journal of Offshore Mechanics and Arctic Engineering,2024
.Nonparametric modelling of ship dynamics using puma optimizer algorithm-optimized twin Support vector regression:Journal of Marine Science and Engineering,2024
.Multi-objective optimal input design for grey-box identification modelling of ship manoeuvring motion:Ships and Offshore Structures,2024
.Active learning of ensemble polynomial chaos expansion method for global sensitivity analysis:Reliability Engineering & System Safety,2024
.Ensemble learning of multi-kernel Kriging surrogate models using regional discrepancy and space-filling criteria-based hybrid sampling method:Advanced Engineering Informatics,2023
.An efficient multi-fidelity Kriging surrogate model-based method for global sensitivity analysis:Reliability Engineering & System Safety,2023
.Derivative-based Global Sensitivity Measure using Radial Basis Function:Structural and Multidisciplinary Optimization,2020
.A Sequential Experimental Design for Multivariate Sensitivity Analysis using Polynomial Chaos Expansion:Engineering Optimization,2020
.An Efficient Local Search-based Genetic Algorithm for Constructing Optimal Latin Hypercube Design:Engineering Optimization,2020
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