大连理工大学主页平台管理系统张超 RSAL-iMFS: A framework of randomized stacking with active learning for incremental multi-fidelity surrogate modeling 张超的主页

当前位置: 张超的主页 >> 科学研究 >> 论文成果

RSAL-iMFS: A framework of randomized stacking with active learning for incremental multi-fidelity surrogate modeling

点击次数：

论文类型：期刊论文

论文编号：362551

发表时间：2023-04-18

发表刊物：ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

文献类型：J

卷号：120

ISSN号：0952-1976

关键字：DESIGN; JOHNSON

上一条： Coding Method Based on Fuzzy C-Means Clustering for Spiking Neural Network With Triangular Spike Response Function

下一条： Generative adversarial networks for multi-fidelity matrix completion with massive missing entries

张超 (教授)