Matlab: Non Linear Methods

  • 1,976 views
Uploaded on

Matlab: Non Linear Methods

Matlab: Non Linear Methods

More in: Technology
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Be the first to comment
    Be the first to like this
No Downloads

Views

Total Views
1,976
On Slideshare
0
From Embeds
0
Number of Embeds
0

Actions

Shares
Downloads
0
Comments
0
Likes
0

Embeds 0

No embeds

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
    No notes for slide

Transcript

  • 1. 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