Nonlinear Function Fitting Task
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A Nonlinear Function Fitting Task is a function fitting task that requires the production of a fitted nonlinear function.
- AKA: Nonlinear Regression.
- Context:
- Task Performance: e.g. Non-Linear Least Squares.
- It can be solved by a Nonlinear Regression System (that implements a nonlinear regression algorithm).
- …
- Counter-Example(s):
- See: Curve Fitting Task, Non-Linear Least Squares.
References
2015
- (Wikipedia, 2015) ⇒ http://en.wikipedia.org/wiki/nonlinear_regression Retrieved:2015-4-30.
- In statistics, nonlinear regression is a form of regression analysis in which observational data are modeled by a function which is a nonlinear combination of the model parameters and depends on one or more independent variables. The data are fitted by a method of successive approximations.