Strategies for constructing mathematical models of nonlinear systems based on multiple linear regression models

Strategies for constructing mathematical models of nonlinear systems based on multiple linear regression models

Mathematical systems often have nonlinear, time-varying, time-lagged, and uncertain factors, which affect the experimental prediction accuracy. In order to improve the experimental prediction accuracy, this paper inputs the independent and dependent variable data sets as the original samples into a...

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Bibliographic Details
Main Authors: Shao Yongcun, Qin Cong
Format: Article
Language:English
Published: Sciendo 2024-01-01
Series:Applied Mathematics and Nonlinear Sciences
Subjects:
multiple linear regression function
nonlinear system model
fitting calculation
rolling operation
prediction accuracy
62j02
Online Access:https://doi.org/10.2478/amns.2023.1.00078

Internet

https://doi.org/10.2478/amns.2023.1.00078

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