Email this article Algorithmic Foundations of Predictive Analytics in Industrial Engineering Design
- Authors: Burnaev E.V.1,2
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Affiliations:
- Skolkovo Institute of Science and Technology
- Institute for Information Transmission Problems
- Issue: Vol 64, No 12 (2019)
- Pages: 1485-1492
- Section: Mathematical Models and Computational Methods
- URL: https://ogarev-online.ru/1064-2269/article/view/201719
- DOI: https://doi.org/10.1134/S1064226919120039
- ID: 201719
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Abstract
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.
About the authors
E. V. Burnaev
Skolkovo Institute of Science and Technology; Institute for Information Transmission Problems
Author for correspondence.
Email: E.Burnaev@skoltech.ru
Russian Federation, Moscow; Moscow
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