Power flow (PF) is the basis of steady-state analysis and control of power systems. The conventional model-driven PF formulated by a set of implicated nonlinear equations is solved iteratively by ...

Non-linear regression is a powerful tool used when relationships between variables aren't straight lines. It's essential when your data exhibits curvature, interaction effects, or other non-linear ...

Overfitting in non-linear regression models is a critical issue that can dramatically reduce a model's effectiveness. When a model is overfitted, it means that it has learned the training data too ...

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 ...

Enzyme kinetic parameters have been estimated using MATLAB software via the Wilkinson non-linear regression technique. The MATLAB script file written to implement this technique is short and very ...

Multicollinearity is as serious a problem in non-linear regression as it is in linear regression, with the vectors of partial derivatives taking the place of the columns of the design matrix. The ...

Leatherbarrow, R.J. (1988) Enzfitter A Non-Linear Regression Data Analysis Program for IBM PC. Journal of American Chemical Society, 110, 4100. - References - Scientific Research Publishing Home ...