A New Algorithm to Estimate the Parameters of Nonlinear Regression
Zaid Adil Abd alkreem, Bayda Atiya Kalaf · Journal of Physics Conference Series · 2021
Abstract 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.