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Matlab: Non Linear Methods
- 2. Nonlinear Least Squares Curve Fitting Toolbox software uses the nonlinear least-squares formulation to fit a nonlinear model to data. A nonlinear model is defined as an equation that is nonlinear in the coefficients, or a combination of linear and nonlinear in the coefficients. For example, Gaussians, ratios of polynomials, and power functions are all nonlinear.
- 3. Interactive fitting The process of fitting a surface to data involves the following steps: Opening the Surface Fitting Tool Selecting Data Refining Your Fit Removing Outliers Selecting Validation Data Exploring and Customizing Plots
- 4. 1. Opening the curve fitting tool Type cftoolin the matlab command window
- 5. 2. Selecting Data Type load census for this example. Then import the data as follows
- 6. 3. Fitting Use the ‘Fit’ option as follows:
- 7. 4. Viewing Go to View -> Residual -> Line plot
- 8. 4. Viewing
- 9. 4. Viewing Apply different fits and see the result
- 10. 4. Viewing
- 11. 5. Analyzing the Fit
- 12. 5. Analyzing the Fit
- 13. Visit more self help tutorials Pick a tutorial of your choice and browse through it at your own pace. The tutorials section is free, self-guiding and will not involve any additional support. Visit us at www.dataminingtools.net