Special Issue on Nonlinear Model

A nonlinear model describes nonlinear relationships in experimental data. Nonlinear regression models are generally assumed to be parametric, where the model is described as a nonlinear equation. Typically machine learning methods are used for non-parametric nonlinear regression. The goal of this special issue is to provide a platform for scientists and academicians all over the world to promote, share, and discuss various new issues and developments in the area of nonlinear model.

In this special issue, we intend to invite front-line researchers and authors to submit original research and review articles on exploring nonlinear model. In this special issue, potential topics include, but are not limited to:

• Fitting transformable nonlinear models
• Fitting nonlinear regression models
• Fitting polynomial models
• Fitting models which are nonlinear in the parameters
• Nonlinear regression analysis
• Nonlinear regression models and its applications

Authors should read over the journal’s For Authors carefully before submission. Prospective authors should submit an electronic copy of their complete manuscript through the journal’s Paper Submission System.

Please kindly notice that the “Special Issue” under your manuscript title is supposed to be specified and the research field “Special Issue - Nonlinear Model” should be chosen during your submission.

According to the following timetable:

Guest Editor:

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Please contact Editorial Assistant at

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