• Machine Learning in Nonlinear Dynamical Systems

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      Permanent link:
      https://www.ias.ac.in/article/fulltext/reso/026/07/0953-0970

    • Keywords

       

      Nonlinear dynamical systems, machine learning, dynamical modelling.

    • Abstract

       

      In this article, we discuss some of the recent developments in applying machine learning (ML) techniques to nonlinear dynamical systems. In particular, we demonstrate how to build a suitable ML framework for addressing two specific objectives of relevance: prediction of future evolution of a system and unveiling from given time-series data the analytical form of the underlying dynamics. This article is written in a pedagogical style appropriate for a course in nonlinear dynamics or machine learning.

    • Author Affiliations

       

      Sayan Roy1 Debanjan Rana2

      1. Department of Physics Bhopal Bypass Rd, Bhauri Madhya Pradesh 462 066, India.
      2. Department of Chemistry Bhopal Bypass Rd, Bhauri Madhya Pradesh 462 066,
    • Dates

       

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