symbolic regression (or symbolic function identification)can be done by
genetic programming (many other methods are available ). symbolic
regression finds the symbolic expression function to the given data input
and outputs and outputs an expression best fitted for the inputs. the basic
difference between symbolic regression and normal regression is normal
regression assumes a model(expression) and determines the coefficients,
where as symbolic regression searches for the model and fits it.
Currently mathematica, matlab and many more are supporting(implemented)
symbolic regression.
http://library.wolfram.com/infocenter/Conferences/5392/
http://sites.google.com/site/gptips4matlab/
--
You received this message because you are subscribed to the Google Groups
"sympy" group.
To view this discussion on the web visit
https://groups.google.com/d/msg/sympy/-/B9SV0ficJXAJ.
To post to this group, send email to sympy@googlegroups.com.
To unsubscribe from this group, send email to
sympy+unsubscr...@googlegroups.com.
For more options, visit this group at
http://groups.google.com/group/sympy?hl=en.
