Symbolic regression: Difference between revisions

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== See also ==

* [[Eureqa]], software that implementsa symbolic regression engine

* [http://dev.heuristiclab.com/ [HeuristicLab]], a software environment for comparingheuristic variousand optimizationevolutionary techniquesalgorithms, including symbolic regression

* [[DataMelt]], software that implements symbolic regression in Java and Python

* [http://dev.heuristiclab.com/ HeuristicLab] software for comparing various optimization techniques, including symbolic regression

* [https://cran.r-project.org/web/packages/rgp/index.html RGP] package for symbolic regression in R

* [https://sites.google.com/site/gptips4matlab/ GPTIPS] software that implements symbolic regression

* [[Closed-form expression#Conversion from numerical forms|Closed-form expression § Conversion from numerical forms]]

* [[Genetic programming]]

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| doi=10.1126/science.1165893

}}

* {{cite thesis

|degree = M.Sc.

|author1 = Wouter Minnebo

|author2 = Sean Stijven

|year = 2011

|title = Empowering Knowledge Computing with Variable Selection

|chapter = Chapter 4: Symbolic Regression

|publisher = [[University of Antwerp]]

|url = https://community.alteryx.com/pvsmt99345/attachments/pvsmt99345/product-ideas/1300/1/ThesisWouterSean_v2.pdf

}}

* {{cite conference

|title = Performance improvement of machine learning via automatic discovery of facilitating functions as applied to a problem of symbolic system identification

|author1 = John R. Koza

|author2 = Martin A. Keane

|author3 = James P. Rice

|booktitle = IEEE International Conference on Neural Networks

|pages = 191--198

|year = 1993

|___location = San Francisco

|publisher = [[Institute of Electrical and Electronics Engineers|IEEE]]

|url = http://www.genetic-programming.com/jkpdf/icnn1993impulse.pdf

}}

== External links ==

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* {{cite web |title = Symbolic regression — an overview |url = http://www.mafy.lut.fi/EcmiNL/older/ecmi35/node70.html |author = Ivan Zelinka |year = 2004 }}

* {{cite web |title = Simple Symbolic Regression Using Genetic Programming |url = http://alphard.ethz.ch/gerber/approx/default.html |author = Hansueli Gerber |year = 1998 }} (Java applet) — approximates a function by evolving combinations of simple arithmetic operators, using algorithms developed by [[John Koza]].

* {{cite web |title = Symbolic Regression: Function Discovery & More |url = http://www.symbolicregression.com |author = Katya Vladislavleva |archiveurl = http://wayback.archive.org/web/20141218105301/http://symbolicregression.com/ |archivedate = 2014-12-18}}

* [http://www.symbolicregression.com SymbolicRegression.com]

* [https://cran.r-project.org/web/packages/rgp/index.html RGP], packagea forGenetic symbolicProgramming regression(GP) framework in [[R (programming language)|R]] that supports symbolic regression

* [https://sites.google.com/site/gptips4matlab/ GPTIPS], softwarea thatGenetic implementsProgramming symbolicand regressionSymbolic Data Mining Platform for [[MATLAB]]

[[Category:Regression analysis]]