4,427
edits
Function parametrization: Difference between revisions
Jump to navigation
Jump to search
→Alternatives
| Line 29: | Line 29: | ||
* [[Bayesian data analysis]], which allows non-Gaussian error distributions. A very powerful method but not fast due to the need for maximization (not suited for real-time applications). | * [[Bayesian data analysis]], which allows non-Gaussian error distributions. A very powerful method but not fast due to the need for maximization (not suited for real-time applications). | ||
* Neural networks. Like with FP, most of the computational effort is concentrated in an analysis phase (network ''training''), before the actual application to data. Therefore, this | * Neural networks. Like with FP, most of the computational effort is concentrated in an analysis phase (network ''training''), before the actual application to data. Therefore, this method is fast and suited for real-time applications. | ||
== References == | == References == | ||
<references /> | <references /> | ||