Art

J-GLOBAL ID：201302230292444354   Reference number：13A0995169

Application of an Artificial Fish Swarm Algorithm in Symbolic Regression

シンボリック回帰への人工魚群アルゴリズムの適用

Author (4)： LIU Qing (Univ. of Fukui) ,  ODAKA Tomohiro (Univ. of Fukui) ,  KUROIWA Jousuke (Univ. of Fukui) ,  OGURA Hisakazu (Univ. of Fukui)
Material： IEICE Transactions on Information and Systems (Institute of Electronics, Information and Communication Engineers)  (IEICE Trans Inf Syst (Inst Electron Inf Commun Eng))
Volume： E96-D  Issue： 4  Page： 872-885 (J-STAGE)  Publication year： 2013 
JST Material Number： L1371A  ISSN： 0916-8532  Document type： Article
Article type： 原著論文  Country of issue： Japan (JPN)  Language： ENGLISH (EN)

Thesaurus term： *data analysis ,  Regression Analysis ,  *tree structure ,  *syntactic analysis ,  function (mathematics) ,  penalty ,  convergence ,  gene expression ,  Computer Simulation ,  molecular genetic phenomenon ,  computer application ,  utilization
Semi thesaurus term： *symbolic regression ,  *parse tree ,  fitness function

JST classification (1)： Numerical computation  (JE02000J)

Reference (17)：

• [1] D.A. Freedman, Statistical Models: Theory and Practice, Cambridge University Press, 2005.
• [2] J. Koza, Genetic programming: On the programming of computers by means of natural selection, MIT Press, 1992.
• [3] M. Schmidt and H. Lipson, “Learning noise,” GECCO'07, pp.1680-1685, 2007.
• [4] P. Barmpalexis, K. Kachrimanis, A. Tsakonas, and E. Georgarakis, “Symbolic regression via genetic programming in the optimization of a controlled release pharmaceutical formulation,” vol.107, pp.75-82, 2011.
• [5] E. Hemberg, M. O'Neill, L. Ho, and H. Claussen, “A symbolic regression approach to manage femtocell coverage using grammatical genetic programming,” CECCO'11, pp.639-646, 2011.

Terms in the title (3)： シンボリック回帰 ,  人工 ,  アルゴリズム