Kernel parameter optimization for kriging based on structural risk minimization principle

DOI10.1155/2017/3021950zbMath1426.62105OpenAlexW2755640814MaRDI QIDQ1992574

Chunlin Gong, Liangxian Gu, Hua Su

Publication date: 5 November 2018

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2017/3021950

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Learning and adaptive systems in artificial intelligence (68T05) Sensitivity, stability, parametric optimization (90C31)

Related Items (1)

Novel kernel density estimator based on ensemble unbiased cross-validation

Uses Software

• DACE

Cites Work

• Kriging metamodeling in simulation: a review
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Kernel parameter optimization for kriging based on structural risk minimization principle