Introduction
Askhat Diveev and
Elizaveta Shmalko
Additional contact information
Askhat Diveev: Russian Academy of Sciences (FRC CSC RAS), Federal Research Center “Computer Science and Control”
Elizaveta Shmalko: Russian Academy of Sciences (FRC CSC RAS), Federal Research Center “Computer Science and Control”
Chapter Chapter 1 in Machine Learning Control by Symbolic Regression, 2021, pp 1-6 from Springer
Abstract:
Abstract This book is primarily about control. In the introduction, we will talk about modern approaches to control, about the automation of the very design process of control, about artificial intelligence and machine learning, and, of course, about symbolic regression methods, which open up new possibilities not only in the field of control automation, but also in the design of completely different optimal structures, including building structures, technical systems, and even musical works.
Date: 2021
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-83213-1_1
Ordering information: This item can be ordered from
http://www.springer.com/9783030832131
DOI: 10.1007/978-3-030-83213-1_1
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().