用机器学习探索受大流行病影响的小企业收入的随机扰动

IF 5.2 2区工程技术 Q1 ENGINEERING, MECHANICAL

Nonlinear Dynamics Pub Date : 2023-11-29 DOI:10.1007/s11071-023-09011-7

Z. Yu, A. Sohail

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Machine learning to explore the stochastic perturbations in revenue of pandemic-influenced small businesses

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来源期刊

Nonlinear Dynamics 工程技术-工程：机械

CiteScore

9.00

自引率

17.90%

发文量

966

审稿时长

5.9 months

期刊介绍： Nonlinear Dynamics provides a forum for the rapid publication of original research in the field. The journal’s scope encompasses all nonlinear dynamic phenomena associated with mechanical, structural, civil, aeronautical, ocean, electrical, and control systems. Review articles and original contributions are based on analytical, computational, and experimental methods. The journal examines such topics as perturbation and computational methods, symbolic manipulation, dynamic stability, local and global methods, bifurcations, chaos, and deterministic and random vibrations. The journal also investigates Lie groups, multibody dynamics, robotics, fluid-solid interactions, system modeling and identification, friction and damping models, signal analysis, and measurement techniques.