Algorithmic Foundations of Predictive Analytics in Industrial Engineering Design
- 作者: Burnaev E.1,2
-
隶属关系:
- Skolkovo Institute of Science and Technology
- Institute for Information Transmission Problems
- 期: 卷 64, 编号 12 (2019)
- 页面: 1485-1492
- 栏目: Mathematical Models and Computational Methods
- URL: https://journals.rcsi.science/1064-2269/article/view/201719
- DOI: https://doi.org/10.1134/S1064226919120039
- ID: 201719
如何引用文章
详细
We consider the problem of constructing predictive models (surrogate models) to tackle challenges of industrial engineering design. The author analyzed the needs of industrial applications, formulated a number of new mathematical and algorithmic problems and developed appropriate methods of data modeling.
作者简介
E. Burnaev
Skolkovo Institute of Science and Technology; Institute for Information Transmission Problems
编辑信件的主要联系方式.
Email: E.Burnaev@skoltech.ru
俄罗斯联邦, Moscow; Moscow