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尚晓兵
Personal Information
Name (Pinyin): SXB
School/Department: 智能科学与工程学院
Degree: Doctoral Degree in Engineering
Professional Title: Associate Professor
Status: Employed
Recommended Ph.D.Supervisor
Recommended MA Supervisor
Paper Publications
Current position:
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Paper Publications
Ensemble learning of multi-kernel Kriging surrogate models using regional discrepancy and space-filling criteria-based hybrid sampling method
Release time:2024-10-27
Hits:
Journal:
Advanced Engineering Informatics
Translation or Not:
no
Date of Publication:
2023
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Active learning of ensemble polynomial chaos expansion method for global sensitivity analysis
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An efficient multi-fidelity Kriging surrogate model-based method for global sensitivity analysis