Open AccessA New Algorithm to Estimate the Parameters of Nonlinear Regression
Author(s) -
Zaid Adil Abd alkreem,
Bayda Atiya Kalaf
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1879/3/032042
Subject(s) - nonlinear system , nonlinear regression , regression , algorithm , computer science , regression analysis , estimation , estimation theory , mathematics , mathematical optimization , statistics , machine learning , engineering , physics , quantum mechanics , systems engineering
The procedures to estimate the parameters are important in many scientific fields that are required to develop mathematical models. Thus, this paper is proposed as a Gravitational Search algorithm for estimating the parameters of nonlinear regression models. Also, a simulation study is conducted to investigate the performance of the proposed methods in this paper. The results show that GSA approach provides accurate estimates and is satisfactory for the parameter estimation of the nonlinear regression models.