You are a guest. Restricted access. Read more.
Command disabled: revisions
SCaVis manual

<< back

Symbolic regression

Snippet from Wikipedia: Symbolic regression

Symbolic regression is a type of regression analysis that searches the space of mathematical expressions to find the model that best fits a given dataset, both in terms of accuracy and simplicity. No particular model is provided as a starting point to the algorithm. Instead, initial expressions are formed by randomly combining mathematical building blocks such as mathematical operators, analytic functions, constants, and state variables.

Java code for symbolic regression calculations is based on the following class:

You have a limited access to this reference manual. One can unlock it after becoming a full member.

reference/ai/symbolic_regression.txt · Last modified: 2014/12/28 07:52 by admin
CC Attribution-Share Alike 3.0 Unported
Powered by PHP Driven by DokuWiki Recent changes RSS feed Valid CSS Valid XHTML 1.0 Valid HTML5