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Introduction

In: Machine Learning Control by Symbolic Regression

Author

Listed:
  • 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”)

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.

Suggested Citation

  • Askhat Diveev & Elizaveta Shmalko, 2021. "Introduction," Springer Books, in: Machine Learning Control by Symbolic Regression, chapter 0, pages 1-6, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-83213-1_1
    DOI: 10.1007/978-3-030-83213-1_1
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