ELE829 - System Modelling and Identification was a 4th year Electrical Engineering course at Ryerson, Linear Regression Modelling was one of its major project which was done using MATLAB. In this ...

Learn how to use MATLAB to simulate nonlinear and complex process dynamics in four steps: define the model, solve the equations, plot the results, and analyze sensitivity. Agree & Join LinkedIn ...

Abstract: In order to analyze the difference between two kinds of engineering software-Matlab and LabVIEW in dealing with the issue of non-linear curve fitting, we study the implementation methods in ...

Often, regression models that appear nonlinear upon first glance are actually linear. The curve estimation procedure can be used to identify the nature of the functional relationships at play in ...

For nonlinear regression models, you can use nonlinear least squares (NLS) or maximum likelihood estimation (MLE) to estimate the parameters by maximizing the likelihood function.

This work describes a toolbox of nonlinear regression models developed on an open-source platform of Scilab. The models are formed from radial basis function (RBF) neural network structures. For a ...